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Content
May 2025, Volume 4, Issue 5
- 1-13 Comparing the predictive discrimination of machine learning models for ordinal outcomes: A case study of dehydration prediction in patients with acute diarrhea
by Kexin Qu & Monique Gainey & Samika S Kanekar & Sabiha Nasrim & Eric J Nelson & Stephanie C Garbern & Mahmuda Monjory & Nur H Alam & Adam C Levine & Christopher H Schmid
April 2025, Volume 4, Issue 4
- 1-3 Combating noncommunicable diseases in a digital world: Youth shaping the future through digital citizenship for health
by Salman Fitrat Khan & Aditi Jhaveri - 1-5 Byte-sized progress: Will the current economic crisis in Sri Lanka impede the advancement of digital health citizenship in the country?
by Udani De Silva & Mithara Fonseka & Sanduni Kotinkaduwa - 1-7 Perinatal mental health care goes digital: Opportunities for digital health to revolutionize the care delivery for healthier pregnancies and outcomes
by Bindu Chanagala & Suneet P Chauhan & Sheehan D Fisher & Matthew Hoffman & Martin G Frasch - 1-11 Digital technology as a tool to provide social support to individuals with cancer in low- and middle-income countries: A scoping review
by Hallie Dau & Fazila Kassam & Beth A Payne & Hana Miller & Gina Ogilvie - 1-12 Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice
by Ellison B Weiner & Irene Dankwa-Mullan & William A Nelson & Saeed Hassanpour - 1-13 Using machine learning and single nucleotide polymorphisms for improving rheumatoid arthritis risk Prediction in postmenopausal women
by Yingke Xu & Qing Wu - 1-13 Unsupervised machine learning identifies opioid taper reversal patterns in a longitudinal cohort (2008–2018)
by Monika Ray & Joshua J Fenton & Patrick S Romano - 1-14 Preclinical usability evaluation of the Liveborn app: A mobile health application that provides feedback for neonatal resuscitation
by Daniel Ishoso & Eric Mafuta & Kourtney Bettinger & Carl Bose & Benjamin H Chi & Ingunn Haug & Patricia Gomez & Joar Eilevstjønn & Abigail McRea & Helge Myklebust & Antoinette Tshefu & Jackie K Patterson - 1-14 GPS navigation assistance is associated with driving mobility in older drivers
by Sol Morrissey & Stephen Jeffs & Rachel Gillings & Mizanur Khondoker & Anuraj Varshney & Mary Fisher-Morris & Ed Manley & Michael Hornberger - 1-14 Implementation and impact of mhealth in the management of diabetes mellitus in Africa: A systematic review and meta-analysis
by Franklin Okechukwu Dike & Jean Claude Mutabazi & Ezekiel Musa & Blessing Chinenye Ubani & Ahmed Sherif Isa & Chidiebele Malachy Ezeude & Henry Iheonye & Isah Idris Ainavi - 1-14 The effect of software and hardware version on Apple Watch activity measurement: A secondary analysis of the COVFIT retrospective cohort study
by Shelby L Sturrock & Rahim Moineddin & Dionne Gesink & Sarah Woodruff & Daniel Fuller - 1-15 Association of the child opportunity index with in-hospital mortality and persistence of organ dysfunction at one week after onset of Phoenix Sepsis among children admitted to the pediatric intensive care unit with suspected infection
by Ronald Moore & Daniela Chanci & Stephanie R Brown & Michael J Ripple & Natalie R Bishop & Jocelyn Grunwell & Rishikesan Kamaleswaran - 1-15 Chronobiologically-informed features from CGM data provide unique information for XGBoost prediction of longer-term glycemic dysregulation in 8,000 individuals with type-2 diabetes
by Jamison H Burks & Leslie Joe & Karina Kanjaria & Carlos Monsivais & Kate O'laughlin & Benjamin L Smarr - 1-16 Design and implementation of digital literacy training programme: Findings of a quasi- experimental study from rural India
by Aparajita Gogoi & Mercy Manoranjini & Mamta Gupta - 1-17 Evaluating the feasibility, adoption, cost-effectiveness, and sustainability of telemedicine interventions in managing COVID-19 within low-and-middle-income countries (LMICs): A systematic review
by Nonye M Okafor & Imani Thompson & Vandana Venkat & Courtney Robinson & Aishwarya Rao & Sumedha Kulkarni & Leah Frerichs & Khady Ndiaye & Deborah Adenikinju & Chukwuemeka Iloegbu & John Pateña & Hope Lappen & Dorice Vieira & Joyce Gyamfi & Emmanuel Peprah - 1-21 A comparative study of explainability methods for whole slide classification of lymph node metastases using vision transformers
by Jens Rahnfeld & Mehdi Naouar & Gabriel Kalweit & Joschka Boedecker & Estelle Dubruc & Maria Kalweit - 1-29 Navigating digital frontiers in UAE healthcare: A qualitative exploration of healthcare professionals’ and patients’ experiences with AI and telemedicine
by Azza Alkaabi & Deena Elsori
March 2025, Volume 4, Issue 3
- 1-15 Evaluating fairness of machine learning prediction of prolonged wait times in Emergency Department with Interpretable eXtreme gradient boosting
by Hao Wang & Nethra Sambamoorthi & Nathan Hoot & David Bryant & Usha Sambamoorthi - 1-28 Systemic transphobia and ongoing barriers to healthcare for transgender and nonbinary people: A historical analysis of #TransHealthFail
by Allison J McLaughlin & Saren Nonoyama & Lauren Glupe & Jordon D Bosse
February 2025, Volume 4, Issue 2
- 1-10 Digital health equity: Crafting sustainable pathways
by Robin Pierce - 1-10 Diabetes-focused food recommender system (DFRS) to enabling digital health
by Esmael Ahmed & Mohammed Oumer & Medina Hassan - 1-17 Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings
by Ioana Duta & Symon M Kariuki & Anthony K Ngugi & Angelina Kakooza Mwesige & Honorati Masanja & Daniel M Mwanga & Seth Owusu-Agyei & Ryan Wagner & J Helen Cross & Josemir W Sander & Charles R Newton & Arjune Sen & Gabriel Davis Jones - 1-19 Comparison of anonymization techniques regarding statistical reproducibility
by David Pau & Camille Bachot & Charles Monteil & Laetitia Vinet & Mathieu Boucher & Nadir Sella & Romain Jegou - 1-19 An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers
by Michael Owusu-Adjei & James Ben Hayfron-Acquah & Twum Frimpong & Abdul-Salaam Gaddafi - 1-20 Forecasting mental states in schizophrenia using digital phenotyping data
by Thierry Jean & Rose Guay Hottin & Pierre Orban
January 2025, Volume 4, Issue 1
- 1-13 Synthetic data as external control arms in scarce single-arm clinical trials
by Severin Elvatun & Daan Knoors & Simon Brant & Christian Jonasson & Jan F Nygård - 1-14 Quality of life disparities among Mexican people with systemic lupus erythematosus
by Ana Laura Hernández-Ledesma & Domingo Martínez & Elizabeth Fajardo-Brigido & Talía V Román-López & Karen J Nuñez-Reza & Andrea Y Tapia-Atilano & Sandra V Vera del Valle & Donají Domínguez-Zúñiga & Lizbet Tinajero-Nieto & Angélica Peña-Ayala & Estefania Torres-Valdez & Gabriel Frontana-Vázquez & María Gutiérrez-Arcelus & Florencia Rosetti & Sarael Alcauter & Miguel E Rentería & Alejandra E Ruiz-Contreras & Deshiré Alpízar-Rodríguez & Alejandra Medina-Rivera - 1-15 Post-concussion symptom burden and dynamics: Insights from a digital health intervention and machine learning
by Rebecca Blundell & Christine d’Offay & Charles Hand & Daniel Tadmor & Alan Carson & David Gillespie & Matthew Reed & Aimun A B Jamjoom - 1-18 Epidemiological methods in transition: Minimizing biases in classical and digital approaches
by Sara Mesquita & Lília Perfeito & Daniela Paolotti & Joana Gonçalves-Sá - 1-21 A scoping review of the electronic collection and capture of patient reported outcome measures for children and young people in the hospital setting
by Anne Alarilla & Neil J Sebire & Josh Keith & Mario Cortina-Borja & Jo Wray & Gwyneth Davies - 1-21 A data management system for precision medicine
by John J L Jacobs & Inés Beekers & Inge Verkouter & Levi B Richards & Alexandra Vegelien & Lizan D Bloemsma & Vera A M C Bongaerts & Jacqueline Cloos & Frederik Erkens & Patrycja Gradowska & Simon Hort & Michael Hudecek & Manel Juan & Anke H Maitland-van der Zee & Sergio Navarro-Velázquez & Lok Lam Ngai & Qasim A Rafiq & Carmen Sanges & Jesse Tettero & Hendrikus J A van Os & Rimke C Vos & Yolanda de Wit & Steven van Dijk - 1-22 Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms
by Jo-Wai Douglas Wang - 1-25 Performance evaluation and comparative analysis of different machine learning algorithms in predicting postnatal care utilization: Evidence from the ethiopian demographic and health survey 2016
by Daniel Niguse Mamo & Agmasie Damtew Walle & Eden Ketema Woldekidan & Jibril Bashir Adem & Yosef Haile Gebremariam & Meron Asmamaw Alemayehu & Ermias Bekele Enyew & Shimels Derso Kebede - 1-26 Comparing imputation approaches to handle systematically missing inputs in risk calculators
by Anja Mühlemann & Philip Stange & Antoine Faul & Serena Lozza-Fiacco & Rowan Iskandar & Manuela Moraru & Susanne Theis & Petra Stute & Ben D Spycher & David Ginsbourger
December 2024, Volume 3, Issue 12
- 1-13 Multicenter comparative analysis of local and aggregated data training strategies in COVID-19 outcome prediction with Machine learning
by Carine Savalli & Roberta Moreira Wichmann & Fabiano Barcellos Filho & Fernando Timoteo Fernandes & Alexandre Dias Porto Chiavegatto Filho & on behalf of IACOV-BR Network - 1-14 A voice-based algorithm can predict type 2 diabetes status in USA adults: Findings from the Colive Voice study
by Abir Elbéji & Mégane Pizzimenti & Gloria Aguayo & Aurélie Fischer & Hanin Ayadi & Franck Mauvais-Jarvis & Jean-Pierre Riveline & Vladimir Despotovic & Guy Fagherazzi - 1-15 CPLLM: Clinical prediction with large language models
by Ofir Ben Shoham & Nadav Rappoport - 1-19 Neural network-based arterial diameter estimation from ultrasound data
by Zhuangzhuang Yu & Manolis Sifalakis & Borbála Hunyadi & Fabian Beutel - 1-20 Views and experiences of young people on using mHealth platforms for sexual and reproductive health services in rural low-and middle-income countries: A qualitative systematic review
by Alexander S Laar & Melissa L Harris & Md N Khan & Deborah Loxton - 1-27 From theoretical models to practical deployment: A perspective and case study of opportunities and challenges in AI-driven cardiac auscultation research for low-income settings
by Felix Krones & Benjamin Walker - 1-27 Automated craniofacial biometry with 3D T2w fetal MRI
by Jacqueline Matthew & Alena Uus & Alexia Egloff Collado & Aysha Luis & Sophie Arulkumaran & Abi Fukami-Gartner & Vanessa Kyriakopoulou & Daniel Cromb & Robert Wright & Kathleen Colford & Maria Deprez & Jana Hutter & Jonathan O’Muircheartaigh & Christina Malamateniou & Reza Razavi & Lisa Story & Joseph V Hajnal & Mary A Rutherford
November 2024, Volume 3, Issue 11
- 1-12 Diagnostic accuracy of a smartphone-based device (VistaView) for detection of diabetic retinopathy: A prospective study
by Rida Shahzad & Arshad Mehmood & Danish Shabbir & M A Rehman Siddiqui - 1-15 A transparent and standardized performance measurement platform is needed for on-prescription digital health apps to enable ongoing performance monitoring
by Cindy Welzel & Stefanie Brückner & Celia Brightwell & Matthew Fenech & Stephen Gilbert - 1-16 Early identification of children with Attention-Deficit/Hyperactivity Disorder (ADHD)
by Yang S Liu & Fernanda Talarico & Dan Metes & Yipeng Song & Mengzhe Wang & Lawrence Kiyang & Dori Wearmouth & Shelly Vik & Yifeng Wei & Yanbo Zhang & Jake Hayward & Ghalib Ahmed & Ashley Gaskin & Russell Greiner & Andrew Greenshaw & Alex Alexander & Magdalena Janus & Bo Cao - 1-16 Deep learning-based screening for locomotive syndrome using single-camera walking video: Development and validation study
by Junichi Kushioka & Satoru Tada & Noriko Takemura & Taku Fujimoto & Hajime Nagahara & Masahiko Onoe & Keiko Yamada & Rodrigo Navarro-Ramirez & Takenori Oda & Hideki Mochizuki & Ken Nakata & Seiji Okada & Yu Moriguchi - 1-17 How can digital citizen science approaches improve ethical smartphone use surveillance among youth: Traditional surveys versus ecological momentary assessments
by Sarah Al-akshar & Sheriff Tolulope Ibrahim & Tarun Reddy Katapally - 1-18 Meeting people where they are: Crowdsourcing goal-specific personalized wellness practices
by Johanna E Hidalgo & Julia Kim & Jordan Llorin & Kathryn Stanton & Josh Cherian & Laura Bloomfield & Mikaela Fudolig & Matthew Price & Jennifer Ha & Natalie Noble & Christopher M Danforth & Peter Sheridan Dodds & Jason Fanning & Ryan S McGinnis & Ellen W McGinnis - 1-18 Real-world patterns in remote longitudinal study participation: A study of the Swiss Multiple Sclerosis Registry
by Paola Daniore & Chuqiao Yan & Mina Stanikic & Stefania Iaquinto & Sabin Ammann & Christian P Kamm & Chiara Zecca & Pasquale Calabrese & Nina Steinemann & Viktor von Wyl - 1-19 Bias in medical AI: Implications for clinical decision-making
by James L Cross & Michael A Choma & John A Onofrey - 1-20 A feature-based qualitative assessment of smoking cessation mobile applications
by Lydia Tesfaye & Michael Wakeman & Gunnar Baskin & Greg Gruse & Tim Gregory & Erin Leahy & Brandon Kendrick & Sherine El-Toukhy - 1-20 A recurrent neural network and parallel hidden Markov model algorithm to segment and detect heart murmurs in phonocardiograms
by Andrew McDonald & Mark J F Gales & Anurag Agarwal - 1-21 Combining OpenStreetMap mapping and route optimization algorithms to inform the delivery of community health interventions at the last mile
by Mauricianot Randriamihaja & Felana Angella Ihantamalala & Feno H. Rafenoarimalala & Karen E Finnegan & Luc Rakotonirina & Benedicte Razafinjato & Matthew H. Bonds & Michelle V. Evans & Andres Garchitorena - 1-30 New colleague or gimmick hurdle? A user-centric scoping review of the barriers and facilitators of robots in hospitals
by Mathias Kofoed Rasmussen & Anna Schneider-Kamp & Tobias Hyrup & Alessandro Godono - 1-32 Leveraging explainable artificial intelligence for early prediction of bloodstream infections using historical electronic health records
by Rajeev Bopche & Lise Tuset Gustad & Jan Egil Afset & Birgitta Ehrnström & Jan Kristian Damås & Øystein Nytrø
October 2024, Volume 3, Issue 10
- 1-13 Using interpretable machine learning to predict bloodstream infection and antimicrobial resistance in patients admitted to ICU: Early alert predictors based on EHR data to guide antimicrobial stewardship
by Davide Ferrari & Pietro Arina & Jonathan Edgeworth & Vasa Curcin & Veronica Guidetti & Federica Mandreoli & Yanzhong Wang - 1-13 Derivation and validation of an algorithm to predict transitions from community to residential long-term care among persons with dementia—A retrospective cohort study
by Wenshan Li & Luke Turcotte & Amy T Hsu & Robert Talarico & Danial Qureshi & Colleen Webber & Steven Hawken & Peter Tanuseputro & Douglas G Manuel & Greg Huyer - 1-13 Socioeconomic and demographic patterning of family uptake of a paediatric electronic patient portal innovation
by Ameenat Lola Solebo & Lisanne Horvat-Gitsels & Christine Twomey & Siegfried Karl Wagner & Jugnoo S Rahi - 1-14 Unmasking biases and navigating pitfalls in the ophthalmic artificial intelligence lifecycle: A narrative review
by Luis Filipe Nakayama & João Matos & Justin Quion & Frederico Novaes & William Greig Mitchell & Rogers Mwavu & Claudia Ju-Yi Ji Hung & Alvina Pauline Dy Santiago & Warachaya Phanphruk & Jaime S Cardoso & Leo Anthony Celi - 1-14 Impact of observability period on the classification of COPD diagnosis timing among Medicare beneficiaries with lung cancer
by Eman Metwally & Sarah E Soppe & Jennifer L Lund & Sharon Peacock Hinton & Caroline A Thompson - 1-15 Inferring gender from first names: Comparing the accuracy of Genderize, Gender API, and the gender R package on authors of diverse nationality
by Alexander D VanHelene & Ishaani Khatri & C Beau Hilton & Sanjay Mishra & Ece D Gamsiz Uzun & Jeremy L Warner - 1-15 Attitudes towards digital health technology for the care of people with chronic kidney disease: A technology acceptance model exploration
by Daphne Kaklamanou & Le Nguyen & Miznah Al-Abbadey & Nick Sangala & Robert Lewis - 1-17 Conceptualizing bias in EHR data: A case study in performance disparities by demographic subgroups for a pediatric obesity incidence classifier
by Elizabeth A Campbell & Saurav Bose & Aaron J Masino - 1-17 Machine Learning For Risk Prediction After Heart Failure Emergency Department Visit or Hospital Admission Using Administrative Health Data
by Nowell M Fine & Sunil V Kalmady & Weijie Sun & Russ Greiner & Jonathan G Howlett & James A White & Finlay A McAlister & Justin A Ezekowitz & Padma Kaul - 1-18 Learning and diSentangling patient static information from time-series Electronic hEalth Records (STEER)
by Wei Liao & Joel Voldman - 1-18 Exploring the relationship between telehealth utilization and treatment burden among patients with chronic conditions: A cross-sectional study in Ontario, Canada
by Farah Tahsin & Carolyn Steele Gray & Jay Shaw & Aviv Shachak - 1-19 A novel digital health approach to improving global pediatric sepsis care in Bangladesh using wearable technology and machine learning
by Stephanie C Garbern & Gazi Md Salahuddin Mamun & Shamsun Nahar Shaima & Nicole Hakim & Stephan Wegerich & Srilakshmi Alla & Monira Sarmin & Farzana Afroze & Jadranka Sekaric & Alicia Genisca & Nidhi Kadakia & Kikuyo Shaw & Abu Sayem Mirza Md Hasibur Rahman & Monique Gainey & Tahmeed Ahmed & Mohammod Jobayer Chisti & Adam C Levine - 1-20 Unsupervised clustering of longitudinal clinical measurements in electronic health records
by Arshiya Mariam & Hamed Javidi & Emily C Zabor & Ran Zhao & Tomas Radivoyevitch & Daniel M Rotroff - 1-24 Data as scientific currency: Challenges experienced by researchers with sharing health data in sub-Saharan Africa
by Jyothi Chabilall & Qunita Brown & Nezerith Cengiz & Keymanthri Moodley
September 2024, Volume 3, Issue 9
- 1-12 Impact of electronic medical records on healthcare delivery in Nigeria: A review
by Sarah Oreoluwa Olukorode & Oluwakorede Joshua Adedeji & Adetayo Adetokun & Ajibola Ibraheem Abioye - 1-14 Economic impact of a vision-based patient monitoring system across five NHS mental health trusts
by Ciara Buckley & Robert Malcolm & Jo Hanlon - 1-15 Six-year (2016–2022) longitudinal patterns of mental health service utilization rates among children developmentally vulnerable in kindergarten and the COVID-19 pandemic disruption
by Fernanda Talarico & Dan Metes & Mengzhe Wang & Jake Hayward & Yang S Liu & Julie Tian & Yanbo Zhang & Andrew J Greenshaw & Ashley Gaskin & Magdalena Janus & Bo Cao - 1-16 Boosting efficiency in a clinical literature surveillance system with LightGBM
by Cynthia Lokker & Wael Abdelkader & Elham Bagheri & Rick Parrish & Chris Cotoi & Tamara Navarro & Federico Germini & Lori-Ann Linkins & R Brian Haynes & Lingyang Chu & Muhammad Afzal & Alfonso Iorio - 1-18 Aspiring to clinical significance: Insights from developing and evaluating a machine learning model to predict emergency department return visit admissions
by Yiye Zhang & Yufang Huang & Anthony Rosen & Lynn G Jiang & Matthew McCarty & Arindam RoyChoudhury & Jin Ho Han & Adam Wright & Jessica S Ancker & Peter AD Steel - 1-18 Short-term vital parameter forecasting in the intensive care unit: A benchmark study leveraging data from patients after cardiothoracic surgery
by Nils Hinrichs & Tobias Roeschl & Pia Lanmueller & Felix Balzer & Carsten Eickhoff & Benjamin O’Brien & Volkmar Falk & Alexander Meyer - 1-21 Automatic detection of problem-gambling signs from online texts using large language models
by Elke Smith & Jan Peters & Nils Reiter
August 2024, Volume 3, Issue 8
- 1-12 Synergistic patient factors are driving recent increased pediatric urgent care demand
by Emily Lehan & Peyton Briand & Eileen O’Brien & Aleena Amjad Hafeez & Daniel J Mulder - 1-14 Applied artificial intelligence for global child health: Addressing biases and barriers
by Vijaytha Muralidharan & Joel Schamroth & Alaa Youssef & Leo A Celi & Roxana Daneshjou - 1-14 Personalizing the empiric treatment of gonorrhea using machine learning models
by Rachel E Murray-Watson & Yonatan H Grad & Sancta B St. Cyr & Reza Yaesoubi - 1-16 Improving sepsis prediction in intensive care with SepsisAI: A clinical decision support system with a focus on minimizing false alarms
by Ankit Gupta & Ruchi Chauhan & Saravanan G & Ananth Shreekumar - 1-16 Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study
by Masao Iwagami & Ryota Inokuchi & Eiryo Kawakami & Tomohide Yamada & Atsushi Goto & Toshiki Kuno & Yohei Hashimoto & Nobuaki Michihata & Tadahiro Goto & Tomohiro Shinozaki & Yu Sun & Yuta Taniguchi & Jun Komiyama & Kazuaki Uda & Toshikazu Abe & Nanako Tamiya - 1-18 Cutting consumption without diluting the experience: Preferences for different tactics for reducing alcohol consumption among increasing-and-higher-risk drinkers based on drinking context
by Melissa Oldham & Tosan Okpako & Corinna Leppin & Claire Garnett & Larisa-Maria Dina & Abigail Stevely & Andrew Jones & John Holmes - 1-19 QRS detection in single-lead, telehealth electrocardiogram signals: Benchmarking open-source algorithms
by Florian Kristof & Maximilian Kapsecker & Leon Nissen & James Brimicombe & Martin R Cowie & Zixuan Ding & Andrew Dymond & Stephan M Jonas & Hannah Clair Lindén & Gregory Y H Lip & Kate Williams & Jonathan Mant & Peter H Charlton & on behalf of the SAFER Investigators - 1-21 Predicting postoperative delirium assessed by the Nursing Screening Delirium Scale in the recovery room for non-cardiac surgeries without craniotomy: A retrospective study using a machine learning approach
by Niklas Giesa & Stefan Haufe & Mario Menk & Björn Weiß & Claudia D Spies & Sophie K Piper & Felix Balzer & Sebastian D Boie - 1-26 How to design equitable digital health tools: A narrative review of design tactics, case studies, and opportunities
by Amy Bucher & Beenish M Chaudhry & Jean W Davis & Katharine Lawrence & Emily Panza & Manal Baqer & Rebecca T Feinstein & Sherecce A Fields & Jennifer Huberty & Deanna M Kaplan & Isabelle S Kusters & Frank T Materia & Susanna Y Park & Maura Kepper - 1-29 Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development
by Olga Perski & Dimitra Kale & Corinna Leppin & Tosan Okpako & David Simons & Stephanie P Goldstein & Eric Hekler & Jamie Brown
July 2024, Volume 3, Issue 7
- 1-5 Key considerations in the adoption of Artificial Intelligence in public health
by Itai Bavli & Sandro Galea - 1-15 Variable importance analysis with interpretable machine learning for fair risk prediction
by Yilin Ning & Siqi Li & Yih Yng Ng & Michael Yih Chong Chia & Han Nee Gan & Ling Tiah & Desmond Renhao Mao & Wei Ming Ng & Benjamin Sieu-Hon Leong & Nausheen Doctor & Marcus Eng Hock Ong & Nan Liu - 1-17 Predicting sexually transmitted infections among men who have sex with men in Zimbabwe using deep learning and ensemble machine learning models
by Owen Mugurungi & Elliot Mbunge & Rutendo Birri-Makota & Innocent Chingombe & Munyaradzi Mapingure & Brian Moyo & Amon Mpofu & John Batani & Benhildah Muchemwa & Chesterfield Samba & Delight Murigo & Musa Sibindi & Enos Moyo & Tafadzwa Dzinamarira & Godfrey Musuka - 1-17 Diversity and inclusion: A hidden additional benefit of Open Data
by Marie-Laure Charpignon & Leo Anthony Celi & Marisa Cobanaj & Rene Eber & Amelia Fiske & Jack Gallifant & Chenyu Li & Gurucharan Lingamallu & Anton Petushkov & Robin Pierce - 1-18 Geographical validation of the Smart Triage Model by age group
by Cherri Zhang & Matthew O Wiens & Dustin Dunsmuir & Yashodani Pillay & Charly Huxford & David Kimutai & Emmanuel Tenywa & Mary Ouma & Joyce Kigo & Stephen Kamau & Mary Chege & Nathan Kenya-Mugisha & Savio Mwaka & Guy A Dumont & Niranjan Kissoon & Samuel Akech & J Mark Ansermino & on behalf of the Pediatric Sepsis CoLab - 1-25 Work-related smartphone use during off-job hours and work-life conflict: A scoping review
by Holly Blake & Juliet Hassard & Jasmeet Singh & Kevin Teoh - 1-25 Machine-learning-based prediction of disability progression in multiple sclerosis: An observational, international, multi-center study
by Edward De Brouwer & Thijs Becker & Lorin Werthen-Brabants & Pieter Dewulf & Dimitrios Iliadis & Cathérine Dekeyser & Guy Laureys & Bart Van Wijmeersch & Veronica Popescu & Tom Dhaene & Dirk Deschrijver & Willem Waegeman & Bernard De Baets & Michiel Stock & Dana Horakova & Francesco Patti & Guillermo Izquierdo & Sara Eichau & Marc Girard & Alexandre Prat & Alessandra Lugaresi & Pierre Grammond & Tomas Kalincik & Raed Alroughani & Francois Grand’Maison & Olga Skibina & Murat Terzi & Jeannette Lechner-Scott & Oliver Gerlach & Samia J Khoury & Elisabetta Cartechini & Vincent Van Pesch & Maria José Sà & Bianca Weinstock-Guttman & Yolanda Blanco & Radek Ampapa & Daniele Spitaleri & Claudio Solaro & Davide Maimone & Aysun Soysal & Gerardo Iuliano & Riadh Gouider & Tamara Castillo-Triviño & José Luis Sánchez-Menoyo & Guy Laureys & Anneke van der Walt & Jiwon Oh & Eduardo Aguera-Morales & Ayse Altintas & Abdullah Al-Asmi & Koen de Gans & Yara Fragoso & Tunde Csepany & Suzanne Hodgkinson & Norma Deri & Talal Al-Harbi & Bruce Taylor & Orla Gray & Patrice Lalive & Csilla Rozsa & Chris McGuigan & Allan Kermode & Angel Pérez Sempere & Simu Mihaela & Magdolna Simo & Todd Hardy & Danny Decoo & Stella Hughes & Nikolaos Grigoriadis & Attila Sas & Norbert Vella & Yves Moreau & Liesbet Peeters
June 2024, Volume 3, Issue 6
- 1-10 Empowering US healthcare delivery organizations: Cultivating a community of practice to harness AI and advance health equity
by Mark P Sendak & Jee Young Kim & Alifia Hasan & Will Ratliff & Mark A Lifson & Manesh Patel & Iniouluwa Deborah Raji & Ajai Sehgal & Keo Shaw & Danny Tobey & Alexandra Valladares & David E Vidal & Suresh Balu - 1-16 External validation of a paediatric Smart triage model for use in resource limited facilities
by Joyce Kigo & Stephen Kamau & Alishah Mawji & Paul Mwaniki & Dustin Dunsmuir & Yashodani Pillay & Cherri Zhang & Katija Pallot & Morris Ogero & David Kimutai & Mary Ouma & Ismael Mohamed & Mary Chege & Lydia Thuranira & Niranjan Kissoon & J Mark Ansermino & Samuel Akech - 1-25 Detection of honey adulteration using machine learning
by Esmael Ahmed
May 2024, Volume 3, Issue 5
- 1-4 Addressing the affordability gap of novel cancer treatments in developing countries
by Gavin Miyasato & Chitrang Shah & Todd Gorsuch & Ramnath Venkateswaran & Vamsi Chandra Kasivajjala & Mohit Misra - 1-13 A pilot acceptability evaluation of MomMind: A digital health intervention for Peripartum Depression prevention and management focused on health disparities
by Alexandra Zingg & Amy Franklin & Angela Ross & Sahiti Myneni - 1-17 Patient informed consent, ethical and legal considerations in the context of digital vulnerability with smart, cardiac implantable electronic devices
by Leanne N S Torgersen & Stefan M Schulz & Ricardo G Lugo & Stefan Sütterlin - 1-17 An interpretable framework to identify responsive subgroups from clinical trials regarding treatment effects: Application to treatment of intracerebral hemorrhage
by Yaobin Ling & Muhammad Bilal Tariq & Kaichen Tang & Jaroslaw Aronowski & Yang Fann & Sean I Savitz & Xiaoqian Jiang & Yejin Kim - 1-17 Frameworks for procurement, integration, monitoring, and evaluation of artificial intelligence tools in clinical settings: A systematic review
by Sarim Dawar Khan & Zahra Hoodbhoy & Mohummad Hassan Raza Raja & Jee Young Kim & Henry David Jeffry Hogg & Afshan Anwar Ali Manji & Freya Gulamali & Alifia Hasan & Asim Shaikh & Salma Tajuddin & Nida Saddaf Khan & Manesh R Patel & Suresh Balu & Zainab Samad & Mark P Sendak - 1-21 Construction of the Digital Health Equity-Focused Implementation Research Conceptual Model - Bridging the Divide Between Equity-focused Digital Health and Implementation Research
by Lisa L Groom & Antoinette M Schoenthaler & Devin M Mann & Abraham A Brody - 1-22 Outlier analysis for accelerating clinical discovery: An augmented intelligence framework and a systematic review
by Ghayath Janoudi & Mara Uzun (Rada) & Deshayne B Fell & Joel G Ray & Angel M Foster & Randy Giffen & Tammy Clifford & Mark C Walker - 1-23 Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population
by Naotoshi Nakamura & Yurie Kobashi & Kwang Su Kim & Hyeongki Park & Yuta Tani & Yuzo Shimazu & Tianchen Zhao & Yoshitaka Nishikawa & Fumiya Omata & Moe Kawashima & Makoto Yoshida & Toshiki Abe & Yoshika Saito & Yuki Senoo & Saori Nonaka & Morihito Takita & Chika Yamamoto & Takeshi Kawamura & Akira Sugiyama & Aya Nakayama & Yudai Kaneko & Yong Dam Jeong & Daiki Tatematsu & Marwa Akao & Yoshitaka Sato & Shoya Iwanami & Yasuhisa Fujita & Masatoshi Wakui & Kazuyuki Aihara & Tatsuhiko Kodama & Kenji Shibuya & Shingo Iwami & Masaharu Tsubokura - 1-27 Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings
by Daniel M Low & Vishwanatha Rao & Gregory Randolph & Phillip C Song & Satrajit S Ghosh
April 2024, Volume 3, Issue 4
- 1-11 Implementation of mobile-health technology is associated with five-year survival among individuals in rural areas of Indonesia
by Asri Maharani & Sujarwoto & Devarsetty Praveen & Delvac Oceandy & Gindo Tampubolon & Anushka Patel - 1-19 Deep learning to predict rapid progression of Alzheimer’s disease from pooled clinical trials: A retrospective study
by Xiaotian Ma & Madison Shyer & Kristofer Harris & Dulin Wang & Yu-Chun Hsu & Christine Farrell & Nathan Goodwin & Sahar Anjum & Avram S Bukhbinder & Sarah Dean & Tanveer Khan & David Hunter & Paul E Schulz & Xiaoqian Jiang & Yejin Kim - 1-20 Predictive modeling of skin permeability for molecules: Investigating FDA-approved drug permeability with various AI algorithms
by Rami M Abdallah & Hisham E Hasan & Ahmad Hammad - 1-22 Machine learning for healthcare that matters: Reorienting from technical novelty to equitable impact
by Aparna Balagopalan & Ioana Baldini & Leo Anthony Celi & Judy Gichoya & Liam G McCoy & Tristan Naumann & Uri Shalit & Mihaela van der Schaar & Kiri L Wagstaff - 1-26 Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study
by Meghan R Hutch & Jiyeon Son & Trang T Le & Chuan Hong & Xuan Wang & Zahra Shakeri Hossein Abad & Michele Morris & Alba Gutiérrez-Sacristán & Jeffrey G Klann & Anastasia Spiridou & Ashley Batugo & Riccardo Bellazzi & Vincent Benoit & Clara-Lea Bonzel & William A Bryant & Lorenzo Chiudinelli & Kelly Cho & Priyam Das & Tomás González González & David A Hanauer & Darren W Henderson & Yuk-Lam Ho & Ne Hooi Will Loh & Adeline Makoudjou & Simran Makwana & Alberto Malovini & Bertrand Moal & Danielle L Mowery & Antoine Neuraz & Malarkodi Jebathilagam Samayamuthu & Fernando J Sanz Vidorreta & Emily R Schriver & Petra Schubert & Jeffery Talbert & Amelia L M Tan & Byorn W L Tan & Bryce W Q Tan & Valentina Tibollo & Patric Tippman & Guillaume Verdy & William Yuan & Paul Avillach & Nils Gehlenborg & Gilbert S Omenn & The Consortium for Clinical Characterization of COVID-19 by EHR (4CE) & Shyam Visweswaran & Tianxi Cai & Yuan Luo & Zongqi Xia - 1-27 Automated reporting of cervical biopsies using artificial intelligence
by Mahnaz Mohammadi & Christina Fell & David Morrison & Sheeba Syed & Prakash Konanahalli & Sarah Bell & Gareth Bryson & Ognjen Arandjelović & David J Harrison & David Harris-Birtill
March 2024, Volume 3, Issue 3
- 1-16 Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health records
by Maximiliano Mollura & Davide Chicco & Alessia Paglialonga & Riccardo Barbieri - 1-17 Quantitative evaluation model of variable diagnosis for chest X-ray images using deep learning
by Shota Nakagawa & Naoaki Ono & Yukichika Hakamata & Takashi Ishii & Akira Saito & Shintaro Yanagimoto & Shigehiko Kanaya - 1-17 Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning
by Seyedmostafa Sheikhalishahi & Mathias Kaspar & Sarra Zaghdoudi & Julia Sander & Philipp Simon & Benjamin P Geisler & Dorothea Lange & Ludwig Christian Hinske
February 2024, Volume 3, Issue 2
- 1-18 Ethical issues in direct-to-consumer healthcare: A scoping review
by Ashwini Nagappan & Louiza Kalokairinou & Anna Wexler - 1-19 Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic
by Brennan Klein & Timothy LaRock & Stefan McCabe & Leo Torres & Lisa Friedland & Maciej Kos & Filippo Privitera & Brennan Lake & Moritz U G Kraemer & John S Brownstein & Richard Gonzalez & David Lazer & Tina Eliassi-Rad & Samuel V Scarpino & Alessandro Vespignani & Matteo Chinazzi - 1-26 Use of mHealth in promoting maternal and child health in “BIMARU” states of India “A health system strengthening strategy”: Systematic literature review
by Khushbu Singh & Matthew R Walters
January 2024, Volume 3, Issue 1
- 1-14 An introduction to digital determinants of health
by Swathikan Chidambaram & Bhav Jain & Urvish Jain & Rogers Mwavu & Rama Baru & Beena Thomas & Felix Greaves & Shruti Jayakumar & Pankaj Jain & Marina Rojo & Marina Ridao Battaglino & John G Meara & Viknesh Sounderajah & Leo Anthony Celi & Ara Darzi - 1-15 Peer review of GPT-4 technical report and systems card
by Jack Gallifant & Amelia Fiske & Yulia A Levites Strekalova & Juan S Osorio-Valencia & Rachael Parke & Rogers Mwavu & Nicole Martinez & Judy Wawira Gichoya & Marzyeh Ghassemi & Dina Demner-Fushman & Liam G McCoy & Leo Anthony Celi & Robin Pierce - 1-22 Artificial intelligence in fracture detection with different image modalities and data types: A systematic review and meta-analysis
by Jongyun Jung & Jingyuan Dai & Bowen Liu & Qing Wu
December 2023, Volume 2, Issue 12
- 1-10 Machine learning to predict mortality for aneurysmal subarachnoid hemorrhage (aSAH) using a large nationwide EHR database
by Gen Zhu & Anthony Yuan & Duo Yu & Alicia Zha & Hulin Wu - 1-12 AI-based approach for transcribing and classifying unstructured emergency call data: A methodological proposal
by Dalton Breno Costa & Felipe Coelho de Abreu Pinna & Anjni Patel Joiner & Brian Rice & João Vítor Perez de Souza & Júlia Loverde Gabella & Luciano Andrade & João Ricardo Nickenig Vissoci & João Carlos Néto - 1-17 The epidemiological impact of digital and manual contact tracing on the SARS-CoV-2 epidemic in the Netherlands: Empirical evidence
by Wianne Ter Haar & Jizzo Bosdriesz & Roderick P Venekamp & Ewoud Schuit & Susan van den Hof & Wolfgang Ebbers & Mirjam Kretzschmar & Jan Kluijtmans & Carl Moons & Maarten Schim van der Loeff & Amy Matser & Janneke H H M van de Wijgert - 1-26 The effects of weather and mobility on respiratory viruses dynamics before and during the COVID-19 pandemic in the USA and Canada
by Irma Varela-Lasheras & Lilia Perfeito & Sara Mesquita & Joana Gonçalves-Sá
November 2023, Volume 2, Issue 11
- 1-4 Digital determinants of health: Editorial
by Hamish S Fraser & Alvin Marcelo & Mahima Kalla & Khumbo Kalua & Leo A Celi & Jennifer Ziegler - 1-14 Assessing a digital technology-supported community child health programme in India using the Social Return on Investment framework
by Manasi Patil & Athar Qureshi & Elina Naydenova & Anand Bang & Jay Halbert & Maarten De Vos & Poornima Nair & Madhumita Patil & Melissa M Medvedev - 1-15 Diagnostic suspicion bias and machine learning: Breaking the awareness deadlock for sepsis detection
by Varesh Prasad & Baturay Aydemir & Iain E Kehoe & Chaya Kotturesh & Abigail O’Connell & Brett Biebelberg & Yang Wang & James C Lynch & Jeremy A Pepino & Michael R Filbin & Thomas Heldt & Andrew T Reisner - 1-15 Developing a patient flow visualization and prediction model using aggregated data for a healthcare network cluster in Southwest Ethiopia
by Balew Ayalew Kassie & Geletaw Sahle Tegenaw - 1-15 Fairness as an afterthought: An American perspective on fairness in model developer-clinician user collaborations
by John Banja & Judy Wawira Gichoya & Nicole Martinez-Martin & Lance A Waller & Gari D Clifford - 1-17 Development and validation of a parsimonious prediction model for positive urine cultures in outpatient visits
by Ghadeer O Ghosheh & Terrence Lee St John & Pengyu Wang & Vee Nis Ling & Lelan R Orquiola & Nasir Hayat & Farah E Shamout & Y Zaki Almallah - 1-23 Exploring factors affecting the adoption and continuance usage of drone in healthcare: The role of the environment
by John Serbe Marfo & Kwadwo Kyeremeh & Pasty Asamoah & Matilda Kokui Owusu-Bio & Afia Frimpomaa Asare Marfo
October 2023, Volume 2, Issue 10
- 1-5 Centering health equity in large language model deployment
by Nina Singh & Katharine Lawrence & Safiya Richardson & Devin M Mann - 1-14 An experimental machine learning study investigating the decision-making process of students and qualified radiographers when interpreting radiographic images
by Clare Rainey & Angelina T Villikudathil & Jonathan McConnell & Ciara Hughes & Raymond Bond & Sonyia McFadden - 1-15 A standardised differential privacy framework for epidemiological modeling with mobile phone data
by Merveille Koissi Savi & Akash Yadav & Wanrong Zhang & Navin Vembar & Andrew Schroeder & Satchit Balsari & Caroline O Buckee & Salil Vadhan & Nishant Kishore - 1-16 Can mobile-health applications contribute to long-term increase in physical activity after medical rehabilitation?–A pilot-study
by Fabian Borst & Monika Reuss-Borst & Johannes Boschmann & Peter Schwarz - 1-16 Digital Determinants of Health: Health data poverty amplifies existing health disparities—A scoping review
by Kenneth Eugene Paik & Rachel Hicklen & Fred Kaggwa & Corinna Victoria Puyat & Luis Filipe Nakayama & Bradley Ashley Ong & Jeremey N I Shropshire & Cleva Villanueva - 1-17 Machine learning modeling for identifying predictors of unmet need for family planning among married/in-union women in Ethiopia: Evidence from performance monitoring and accountability (PMA) survey 2019 dataset
by Shimels Derso Kebede & Daniel Niguse Mamo & Jibril Bashir Adem & Birhan Ewunu Semagn & Agmasie Damtew Walle - 1-17 Healthcare provider-targeted mobile applications to diagnose, screen, or monitor communicable diseases of public health importance in low- and middle-income countries: A systematic review
by Pascal Geldsetzer & Sergio Flores & Blanca Flores & Abu Bakarr Rogers & Andrew Y Chang - 1-17 Strategies and solutions to address Digital Determinants of Health (DDOH) across underinvested communities
by Casey Holmes Fee & Rachel Scarlett Hicklen & Sidney Jean & Nebal Abu Hussein & Lama Moukheiber & Michelle Foronda de Lota & Mira Moukheiber & Dana Moukheiber & Leo Anthony Celi & Irene Dankwa-Mullan - 1-17 Artificial intelligence with temporal features outperforms machine learning in predicting diabetes
by Iqra Naveed & Muhammad Farhat Kaleem & Karim Keshavjee & Aziz Guergachi - 1-23 Recognizing hand use and hand role at home after stroke from egocentric video
by Meng-Fen Tsai & Rosalie H Wang & José Zariffa - 1-25 The NeoRoo mobile app: Initial design and prototyping of an Android-based digital health tool to support Kangaroo Mother Care in low/middle-income countries (LMICs)
by Sherri Lynn Bucher & Allison Young & Madison Dolan & Geetha Priya Padmanaban & Khushboo Chandnani & Saptarshi Purkayastha
September 2023, Volume 2, Issue 9
- 1-11 Machine learning prediction of the total duration of invasive and non-invasive ventilation During ICU Stay
by Emma Schwager & Xinggang Liu & Mohsen Nabian & Ting Feng & Robin MacDonald French & Pam Amelung & Louis Atallah & Omar Badawi - 1-16 A population-based study exploring phenotypic clusters and clinical outcomes in stroke using unsupervised machine learning approach
by Ralph K Akyea & George Ntaios & Evangelos Kontopantelis & Georgios Georgiopoulos & Daniele Soria & Folkert W Asselbergs & Joe Kai & Stephen F Weng & Nadeem Qureshi - 1-18 Training and testing of a gradient boosted machine learning model to predict adverse outcome in patients presenting to emergency departments with suspected covid-19 infection in a middle-income setting
by Gordon Ward Fuller & Madina Hasan & Peter Hodkinson & David McAlpine & Steve Goodacre & Peter A Bath & Laura Sbaffi & Yasein Omer & Lee Wallis & Carl Marincowitz - 1-21 Reliability of gamified reinforcement learning in densely sampled longitudinal assessments
by Monja P Neuser & Anne Kühnel & Franziska Kräutlein & Vanessa Teckentrup & Jennifer Svaldi & Nils B Kroemer - 1-22 Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022
by Matthew A Reyna & Yashar Kiarashi & Andoni Elola & Jorge Oliveira & Francesco Renna & Annie Gu & Erick A Perez Alday & Nadi Sadr & Ashish Sharma & Jacques Kpodonu & Sandra Mattos & Miguel T Coimbra & Reza Sameni & Ali Bahrami Rad & Gari D Clifford
August 2023, Volume 2, Issue 8
- 1-14 Validation of a tool for estimating clinician recognition of ARDS using data from the international LUNG SAFE study
by Meagan A Bechel & Fabiana Madotto & Adam R Pah & Giacomo Bellani & John G Laffey & Tài Pham & Luís A Nunes Amaral & Curtis H Weiss - 1-15 Virtual care use among older immigrant adults in Ontario, Canada during the COVID-19 pandemic: A repeated cross-sectional analysis
by Janette Brual & Cherry Chu & Jiming Fang & Cathleen Fleury & Vess Stamenova & Onil Bhattacharyya & Mina Tadrous - 1-16 MapperPlus: Agnostic clustering of high-dimension data for precision medicine
by Esha Datta & Aditya Ballal & Javier E López & Leighton T Izu - 1-17 Unlock digital health promotion in LMICs to benefit the youth
by Agata Ferretti & Effy Vayena & Alessandro Blasimme
July 2023, Volume 2, Issue 7
- 1-5 The potential use of non-fungible tokens (NFTs) in healthcare and medical research
by Antonio Yaghy & Nicole Rose I Alberto & Isabelle Rose I Alberto & Rene S Bermea & Ljubica Ristovska & Maria Yaghy & Sandra Hoyek & Nimesh A Patel & Leo Anthony Celi - 1-16 Disparities in mobile phone ownership reflect inequities in access to healthcare
by Alexandre Blake & Ashley Hazel & John Jakurama & Justy Matundu & Nita Bharti - 1-16 Analysis of lung cancer risk factors from medical records in Ethiopia using machine learning
by Demeke Endalie & Wondmagegn Taye Abebe - 1-19 A comprehensive wireless neurological and cardiopulmonary monitoring platform for pediatrics
by Jeremy N Wong & Jessica R Walter & Erin C Conrad & Dhruv R Seshadri & Jong Yoon Lee & Husein Gonzalez & William Reuther & Sue J Hong & Nicolò Pini & Lauren Marsillio & Khrystyna Moskalyk & Mariana Vicenteno & Erik Padilla & Olivia Gann & Ha Uk Chung & Dennis Ryu & Carlie du Plessis & Hein J Odendaal & William P Fifer & Joyce Y Wu & Shuai Xu - 1-22 EEG classification of traumatic brain injury and stroke from a nonspecific population using neural networks
by Michael Caiola & Avaneesh Babu & Meijun Ye
June 2023, Volume 2, Issue 6
- 1-5 Healthcare inequity and digital health–A bridge for the divide, or further erosion of the chasm?
by Yacine Hadjiat - 1-11 Using medicare claims to estimate risk-adjusted performance of Pennsylvania trauma centers
by Alexis M Zebrowski & Phillipe Loher & David G Buckler & Isidore Rigoutsos & Brendan G Carr & Douglas J Wiebe - 1-14 Bias in artificial intelligence algorithms and recommendations for mitigation
by Lama H Nazer & Razan Zatarah & Shai Waldrip & Janny Xue Chen Ke & Mira Moukheiber & Ashish K Khanna & Rachel S Hicklen & Lama Moukheiber & Dana Moukheiber & Haobo Ma & Piyush Mathur - 1-16 Classification of blood pressure during sleep impacts designation of nocturnal nondipping
by Bobak J Mortazavi & Josefa L Martinez-Brockman & Baylah Tessier-Sherman & Matthew Burg & Mary Miller & Zhale Nowroozilarki & O Peter Adams & Rohan Maharaj & Cruz M Nazario & Maxine Nunez & Marcella Nunez-Smith & Erica S Spatz - 1-16 Can the application of machine learning to electronic health records guide antibiotic prescribing decisions for suspected urinary tract infection in the Emergency Department?
by Patrick Rockenschaub & Martin J Gill & Dave McNulty & Orlagh Carroll & Nick Freemantle & Laura Shallcross - 1-17 Increasing efficiency of SVMp+ for handling missing values in healthcare prediction
by Yufeng Zhang & Zijun Gao & Emily Wittrup & Jonathan Gryak & Kayvan Najarian - 1-18 Community perspectives on AI/ML and health equity: AIM-AHEAD nationwide stakeholder listening sessions
by Jamboor K Vishwanatha & Allison Christian & Usha Sambamoorthi & Erika L Thompson & Katie Stinson & Toufeeq Ahmed Syed - 1-19 The Role of Aesthetics in Intentions to Use Digital Health Interventions
by James L Denison-Day & Sarah Muir & Ciaran Newell & Katherine M Appleton - 1-20 Predicting HIV infection in the decade (2005–2015) pre-COVID-19 in Zimbabwe: A supervised classification-based machine learning approach
by Rutendo Beauty Birri Makota & Eustasius Musenge - 1-21 AutoPrognosis 2.0: Democratizing diagnostic and prognostic modeling in healthcare with automated machine learning
by Fergus Imrie & Bogdan Cebere & Eoin F McKinney & Mihaela van der Schaar
May 2023, Volume 2, Issue 5
- 1-11 Work unit level personnel working hours and the patients’ length of in-hospital stay–An administrative data approach
by Oxana Krutova & Jenni Ervasti & Marianna Virtanen & Laura Peutere & Mikko Härmä & Annina Ropponen - 1-16 Factors associated with use of wearable technology to support activity, well-being, or a healthy lifestyle in the adult population and among older adults
by Maiju Kyytsönen & Tuulikki Vehko & Heidi Anttila & Jonna Ikonen - 1-16 Diverse patients’ attitudes towards Artificial Intelligence (AI) in diagnosis
by Christopher Robertson & Andrew Woods & Kelly Bergstrand & Jess Findley & Cayley Balser & Marvin J Slepian - 1-17 Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions
by Katja Hoffmann & Anne Pelz & Elena Karg & Andrea Gottschalk & Thomas Zerjatke & Silvio Schuster & Heiko Böhme & Ingmar Glauche & Ingo Roeder - 1-21 Using the app “Injurymap” to provide exercise rehabilitation for people with acute lateral ankle sprains seen at the Hospital Emergency Department–A mixed-method pilot study
by Jonas Bak & Kristian Thorborg & Mikkel Bek Clausen & Finn Elkjær Johannsen & Jeanette Wassar Kirk & Thomas Bandholm
April 2023, Volume 2, Issue 4
- 1-5 Equity should be fundamental to the emergence of innovation
by Jack Gallifant & Luis Filipe Nakayama & Judy Wawira Gichoya & Robin Pierce & Leo Anthony Celi - 1-20 A profile of patients’ and doctors’ perceptions, acceptance, and utilization of e-health in a deprived region in southwestern China
by Xuechen Xiong & Li Luo & Shuai Zhou & Victor Jing Li & Yinan Zhou & Zhaohua Huo
March 2023, Volume 2, Issue 3
- 1-3 Moving beyond algorithmic accuracy to improving user interaction with clinical AI
by Shlomo Berkovsky & Enrico Coiera - 1-16 Knowledge of Australia’s My Health Record and factors associated with opting out: Results from a national survey of the Australian general population and communities affected by HIV and sexually transmissible infections
by Martin Holt & James MacGibbon & Anthony K J Smith & Timothy R Broady & Mark D M Davis & Christy E Newman - 1-16 Modelling and classifying joint trajectories of self-reported mood and pain in a large cohort study
by Rajenki Das & Mark Muldoon & Mark Lunt & John McBeth & Belay Birlie Yimer & Thomas House - 1-17 Explainable AI identifies diagnostic cells of genetic AML subtypes
by Matthias Hehr & Ario Sadafi & Christian Matek & Peter Lienemann & Christian Pohlkamp & Torsten Haferlach & Karsten Spiekermann & Carsten Marr - 1-19 Developing better digital health measures of Parkinson’s disease using free living data and a crowdsourced data analysis challenge
by Solveig K Sieberts & Henryk Borzymowski & Yuanfang Guan & Yidi Huang & Ayala Matzner & Alex Page & Izhar Bar-Gad & Brett Beaulieu-Jones & Yuval El-Hanani & Jann Goschenhofer & Monica Javidnia & Mark S Keller & Yan-chak Li & Mohammed Saqib & Greta Smith & Ana Stanescu & Charles S Venuto & Robert Zielinski & the BEAT-PD DREAM Challenge Consortium & Arun Jayaraman & Luc J W Evers & Luca Foschini & Alex Mariakakis & Gaurav Pandey & Nicholas Shawen & Phil Synder & Larsson Omberg - 1-19 Proactive Contact Tracing
by Prateek Gupta & Tegan Maharaj & Martin Weiss & Nasim Rahaman & Hannah Alsdurf & Nanor Minoyan & Soren Harnois-Leblanc & Joanna Merckx & Andrew Williams & Victor Schmidt & Pierre-Luc St-Charles & Akshay Patel & Yang Zhang & David L Buckeridge & Christopher Pal & Bernhard Schölkopf & Yoshua Bengio - 1-26 Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care
by Suraj Rajendran & Zhenxing Xu & Weishen Pan & Arnab Ghosh & Fei Wang
February 2023, Volume 2, Issue 2
- 1-13 Multicenter automatic detection of invasive carcinoma on breast whole slide images
by Rémy Peyret & Nicolas Pozin & Stéphane Sockeel & Solène-Florence Kammerer-Jacquet & Julien Adam & Claire Bocciarelli & Yoan Ditchi & Christophe Bontoux & Thomas Depoilly & Loris Guichard & Elisabeth Lanteri & Marie Sockeel & Sophie Prévot - 1-14 Improving web-based respondent-driven sampling performance among men who have sex with men in the Netherlands
by Sophie Diexer & Alexandra Teslya & Vincent Buskens & Amy Matser & Mart Stein & Mirjam E Kretzschmar - 1-15 From 2 dimensions to 3rd dimension: Quantitative prediction of anterior chamber depth from anterior segment photographs via deep-learning
by Zhi Da Soh & Yixing Jiang & Sakthi Selvam S/O Ganesan & Menghan Zhou & Monisha Nongiur & Shivani Majithia & Yih Chung Tham & Tyler Hyungtaek Rim & Chaoxu Qian & Victor Koh & Tin Aung & Tien Yin Wong & Xinxing Xu & Yong Liu & Ching-Yu Cheng - 1-17 Automated large-scale prediction of exudative AMD progression using machine-read OCT biomarkers
by Akos Rudas & Jeffrey N Chiang & Giulia Corradetti & Nadav Rakocz & Oren Avram & Eran Halperin & Srinivas R Sadda - 1-19 Application of ARIMA, and hybrid ARIMA Models in predicting and forecasting tuberculosis incidences among children in Homa Bay and Turkana Counties, Kenya
by Stephen Siamba & Argwings Otieno & Julius Koech
January 2023, Volume 2, Issue 1
- 1-12 Automated grading system of retinal arterio-venous crossing patterns: A deep learning approach replicating ophthalmologist’s diagnostic process of arteriolosclerosis
by Liangzhi Li & Manisha Verma & Bowen Wang & Yuta Nakashima & Hajime Nagahara & Ryo Kawasaki - 1-16 Synthetic data in health care: A narrative review
by Aldren Gonzales & Guruprabha Guruswamy & Scott R Smith - 1-16 Wearable sensor-based performance status assessment in cancer: A pilot multicenter study from the Alliance for Clinical Trials in Oncology (A19_Pilot2)
by William A Wood & Deepika Dilip & Andriy Derkach & Natalie S Grover & Olivier Elemento & Ross Levine & Gita Thanarajasingam & John A Batsis & Charlotte Bailey & Arun Kannappan & Steven M Devine & Andrew S Artz & Jennifer A Ligibel & Ethan Basch & Erin Kent & Jacob Glass - 1-17 ePOCT+ and the medAL-suite: Development of an electronic clinical decision support algorithm and digital platform for pediatric outpatients in low- and middle-income countries
by Rainer Tan & Ludovico Cobuccio & Fenella Beynon & Gillian A Levine & Nina Vaezipour & Lameck Bonaventure Luwanda & Chacha Mangu & Alan Vonlanthen & Olga De Santis & Nahya Salim & Karim Manji & Helga Naburi & Lulu Chirande & Lena Matata & Method Bulongeleje & Robert Moshiro & Andolo Miheso & Peter Arimi & Ousmane Ndiaye & Moctar Faye & Aliou Thiongane & Shally Awasthi & Kovid Sharma & Gaurav Kumar & Josephine Van De Maat & Alexandra Kulinkina & Victor Rwandarwacu & Théophile Dusengumuremyi & John Baptist Nkuranga & Emmanuel Rusingiza & Lisine Tuyisenge & Mary-Anne Hartley & Vincent Faivre & Julien Thabard & Kristina Keitel & Valérie D’Acremont - 1-19 Beyond high hopes: A scoping review of the 2019–2021 scientific discourse on machine learning in medical imaging
by Vasileios Nittas & Paola Daniore & Constantin Landers & Felix Gille & Julia Amann & Shannon Hubbs & Milo Alan Puhan & Effy Vayena & Alessandro Blasimme
December 2022, Volume 1, Issue 12
- 1-18 Optimal mode of delivery in pregnancy: Individualized predictions using national vital statistics data
by Karl W Schulz & Kelly Gaither & Corwin Zigler & Tomislav Urban & Justin Drake & Radek Bukowski - 1-21 Reproducibility of deep learning in digital pathology whole slide image analysis
by Christina Fell & Mahnaz Mohammadi & David Morrison & Ognjen Arandjelovic & Peter Caie & David Harris-Birtill - 1-26 Governing partnerships with technology companies as part of the COVID-19 response in Canada: A qualitative case study
by Vinyas Harish & Thomas G Samson & Lori Diemert & Ashleigh Tuite & Muhammad Mamdani & Kamran Khan & Anita McGahan & James A Shaw & Sunit Das & Laura C Rosella
November 2022, Volume 1, Issue 11
- 1-3 Let’s decide what would be convincing, conduct randomized trials with rigorous comparison conditions, and report tests of moderation and publication bias in meta-analyses
by Simon B Goldberg & John Torous & Shufang Sun - 1-4 Mobile phone–based interventions for mental health show promise of effectiveness, but what does the evidence tell us about what needs to come next?
by Nicholas C Jacobson & Patricia Areán & Stephen M Schueller - 1-18 Telehealth interventions for substance use disorders in low- and- middle income countries: A scoping review
by Margaret Isioma Ojeahere & Sarah Kanana Kiburi & Paul Agbo & Rakesh Kumar & Florence Jaguga
October 2022, Volume 1, Issue 10
- 1-13 German medical students´ views regarding artificial intelligence in medicine: A cross-sectional survey
by Stuart McLennan & Andrea Meyer & Korbinian Schreyer & Alena Buyx - 1-13 Global healthcare fairness: We should be sharing more, not less, data
by Kenneth P Seastedt & Patrick Schwab & Zach O’Brien & Edith Wakida & Karen Herrera & Portia Grace F Marcelo & Louis Agha-Mir-Salim & Xavier Borrat Frigola & Emily Boardman Ndulue & Alvin Marcelo & Leo Anthony Celi - 1-18 Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality prediction
by Rayane Elimam & Nicolas Sutton-Charani & Stéphane Perrey & Jacky Montmain