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Content
April 2026, Volume 5, Issue 4
- 1-15 Equiflow: An open-source software package for evaluating changes in cohort composition
by Jacob Gould Ellen & Chrystinne Fernandes & Martin Viola & Keagan Yap & Arinda Jordan & Mutesi Flavia Kirabo & João Matos & Pedro Moreira & Leo Anthony Celi - 1-20 A pilot study of the online Acceptance and Commitment Therapy Guide for Immigrant Resilience: A culturally adapted intervention for undocumented community members
by José Manuel González Vera & Melanie M Domenech Rodríguez & Alejandro L Vázquez & Korena S Klimczak & Miriam Mukasa & Guadalupe Gabriel San Miguel & Damilola Daramola & Jenifer García Mendoza & Michael E Levin - 1-20 Use of generative AI for health among urban youth in Pakistan: A mixed-methods study
by Ahsan Mashhood & Aamna Ahmed & Inaya Khan & Maryam Hashim & Sara Baloch - 1-25 Reliability of a convolutional neural network in segmenting multiple sclerosis lesions from MRI: Impact of data augmentation, image modality and tolerance with U-Net architecture
by Adam C Szekely-Kohn & Marco Castellani & Luca Baronti & Zubair Ahmed & William G K Manifold & Michael Douglas & Daniel M Espino
March 2026, Volume 5, Issue 3
- 1-11 Cardiology knowledge assessment of retrieval-augmented open versus proprietary large language models
by Constantine Tarabanis & Shaan Khurshid & Areti Karamanou & Rodo Piperaki & Lucas A Mavromatis & Aris Hatzimemos & Dimitrios Tachmatzidis & Constantinos Bakogiannis & Vassilios Vassilikos & Patrick T Ellinor & Lior Jankelson & Evangelos Kalampokis - 1-13 Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals
by Fuad Farajalla & Mousa Farajallah & Nesreen Alqaissi & Mohammad Qtait & Zeenat Mousa Mesk - 1-14 The adaptive large language models for vaccine prediction: A novel approach to vaccine demand prediction with engineered deviation prompts
by Mingming Chen & Qiangsong Wu & Zilong Wang & Qi Qi & Yi Hu & Tenglong Li - 1-15 SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare
by Thomas Callender & Anders Boyd & Robert Davis & Silas Ruhrberg Estevez & Juan M Lavista Ferres & Mihaela van der Schaar - 1-16 Heterogeneous associations of a mobile health-based disease management program on uncontrolled hypertension: A target trial emulation study
by Masashi Kanai & Takahiro Miki & Takuya Toda & Yuta Hagiwara & Takaaki Ikeda - 1-16 A problem of Epic proportion
by Rawan Abulibdeh & Matthew G Crowson & Molly J Douglas & Mena Ramos & Noelle N Saillant & Leo Anthony Celi - 1-18 Advancing the science of qualitative patient preference assessment using large language models
by Ted Grover & Emanuel Krebs & Deirdre Weymann & Morgan Ehman & Dean A Regier - 1-18 Autism data sharing: Benefits, challenges, and recommendations
by Alexandra Lautarescu & Brett Trost & Azadeh Kushki & Bethany Oakley & Síofra Heraty & David Belton & Alison Boyle & Sarah Douglas & Ciara J Molloy & Rosemary Holt & Madeleine Bloomfield & Florence Campana & Miro Cupak & Erica Stevenson & Julian Tillmann & Christopher Chatham & Evdokia Anagnostou & Dean Hartley & Tony Charman - 1-18 Participatory-informed preference optimization (PiPrO): A reinforcement learning simulation study
by Tara Templin & Shuyi Song & Sophia Fort & Nasa Sinnott-Armstrong - 1-19 Interpretable machine learning for predicting delays in seeking abortion among reproductive-aged women in Ethiopia: A study using EDHS 2016 data
by Meron Asmamaw Alemayehu & Almaw Genet Yeshiwas & Abebaw Molla Kebede & Habitamu Mekonen & Getaneh Atikilt Yemata & Amare Genetu Ejigu & Ahmed Fentaw Ahmed & Abathun Temesgen & Gashaw Melkie Bayeh & Chalachew Yenew & Rahel Mulatie Anteneh & Zeamanuel Anteneh Yigzaw & Fantu Mamo Aragaw & Getasew Yirdaw & Sintayehu Simie Tsega & Anley Shiferaw Enawgaw & Tilahun Degu Tsega & Zufan Alamrie Asmare & Berhanu Abebaw Mekonnen - 1-20 Vascular age estimation using a consumer wearable sleep tracker
by Gizem Yilmaz & Shohreh Ghorbani & Ju Lynn Ong & Hosein Aghayan Golkashani & Chen Zhang & B T Thomas Yeo & Michael W L Chee - 1-21 Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypes
by Xiaochen Zheng & Ahmed Allam & Manuel Schürch & Xingyu Chen & Maria Angeliki Komninou & Reto Schüpbach & Jan Bartussek & Michael Krauthammer - 1-27 3D-ViT-UNet: 3D Vision transformer based Unet-like model for Volumetric Brain Tumor Segmentation
by Sikandar Afridi & Atif Jan & Muhammad Abeer Irfan & Muhammad Irfan Khattak & Taimur Ahmed Khan - 1-31 Performance of predictive AI-based clinical decision support systems across clinical domains: A systematic review and meta-analysis
by William J Waldock & Ahmad Guni & Ara Darzi & Hutan Ashrafian
February 2026, Volume 5, Issue 2
- 1-8 Optimizing vedolizumab therapy in ulcerative colitis: A critical synthesis of trial evidence and the emerging role of artificial intelligence
by Alfadl Abdulfattah - 1-11 Using big data to search for possible geographic clustering of Congenital Heart Disease (CHD) across Australia
by Calum Nicholson & Geoff Strange & David S Celermajer - 1-13 SHREC: A framework for advancing next-generation computational phenotyping with large language models
by Sarah Pungitore & Shashank Yadav & Molly Douglas & Jarrod Mosier & Vignesh Subbian - 1-14 Narrowing the A1c gap: Personalized modeling of HbA1c– continuous glucose monitor discordance in type 1 diabetes
by Simon Lebech Cichosz & Camilla Heisel Nyholm Thomsen & David C Klonoff & Irl B Hirsch & Morten Hasselstrøm Jensen - 1-14 Portability of a text mining algorithm for detecting adverse drug reactions in electronic health records across diverse patient groups in two Dutch hospitals
by Britt W M van de Burgt & Loes F C van Dijck & Bjorn Dullemond & Naomi T Jessurun & Minou van Seyen & Rob J van Marum & Remco J A van Wensen & Wai-Yan Liu & Carolien M J van der Linden & Rene J E Grouls & R Arthur Bouwman & Erik H M Korsten & Toine C G Egberts - 1-14 Sleep and smartphone use: Within and between-person relationships from an objective longitudinal smartphone and wearable data donation study
by Paulien Decorte & Karolien Poels & Cedric Vuye & Jonas Lembrechts & Ablenya Barros & Karolien Couscheir & Gert-Jan De Bruijn - 1-16 Early individualized risk prediction using clinical data for children during the febrile phase of dengue in outpatient settings in Vietnam and Thailand
by Sorawat Sangkaew & Bethan Cracknell Daniels & Damien K Ming & Bernard Hernandez & Pau Herrero & Piyarat Suntarattiwong & Siripen Kalayanarooj & Anon Srikiatkhachorn & Alan L Rothman & Darunee Buddhari & Nguyen Lam Vuong & Phung Khanh Lam & Minh Tuan Nguyen & Bridget Wills & Cameron Simmons & Christl A Donnelly & Sophie Yacoub & Alison Holmes & Ilaria Dorigatti - 1-16 First-line risk stratification with machine learning models facilitates rapid triage for non-ST-elevation myocardial infarction
by Wei-Jia Luo & Yih-Mei Liou & Cheng-Han Hsiao & Chi-Sheng Hung & Heng-Yu Pan & Chien-Hua Huang & Pan-Chyr Yang & Kang-Yi Su - 1-17 Mixed-methods assessment of engagement with a digital intervention: The Wrapped feasibility randomised controlled trial
by Lauren Schumacher & Kayleigh Kwah & Rebecca Gill & Rik Crutzen & Katherine Brown & Stephen Bremner & Louise J Jackson & Katie Newby - 1-17 ICD coding of death certificates with generative language models
by Isabel Coutinho & Gonçalo M Correia & Bruno Martins & Afonso Moreira & André Peralta-Santos - 1-17 SomaVR: A low-cost virtual reality platform and implementation framework for medical education in resource-limited settings
by Mike Nsubuga & Grace Kebirungi & Helen Please & Paul Buyego & Henry Mutegeki & Rodgers Kimera & Jag Dhanda & Phil Cruz & Meghan McCarthy & Darrell Hurt & Maria Y Giovanni & Christopher Whalen & Michael Tartakovsky & Daudi Jjingo - 1-18 Interpretable depression assessment using a large language model
by Jae-Joong Lee & Jihoon Han & Choong-Wan Woo - 1-19 Topologically distinct 2D and 3D intratumoral heterogeneity scores for preoperatively predicting invasiveness in stage I lung adenocarcinoma: A multicenter study
by Zhichao Zuo & Xiaohong Fan & Ying Zeng & Wanyin Qi & Wen Liu & Wei Li & Qi Liang - 1-20 AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets
by Keenan Saleh & Raaif Hadadi & Yixiu Liang & Hong Wong & Arunashis Sau & James Howard & Evan Brittain & Jeffrey Annis & Majd El-Harasis & Matthew Shun-Shin & Jagdeep Mohal & Akriti Naraen & Jack Samways & Jessica Artico & James Ware & Prapa Kanagaratnam & Fu Siong Ng & Massoud Zolgharni & Wenjia Bai & Amanda Varnava & Zachary Whinnett & Ahran Arnold - 1-22 Classification of knowledge of fertility period among adolescent girls in East Africa from 2012 to 2022: Machine learning algorithm
by Andualem Addisu Birlie & Kassahun Dessie Gashu & Mulugeta Desalegn Kasaye & Ayana Alebachew Muluneh & Abdulaziz Kebede Kassaw & Hailemariam Kassahun Desalegn & Tamir Wondim Desta & Shimels Derso Kebede - 1-24 From patient voices to policy: Data analytics reveals patterns in Ontario’s hospital feedback
by Pourya Momtaz & Mohammad Noaeen & Konrad Samsel & Neil Seeman & Robert Cribb & Syed Ishtiaque Ahmed & Amol Verma & Dionne M Aleman & Zahra Shakeri - 1-25 Development and validation of interpretable multimodal clinical-radiomics models for predicting epileptogenic foci and surgical outcomes in tuberous sclerosis complex: A multicenter study
by Yang Li & Xingye Liu & Jie Li & Mingxun Xie & Shujing Li & Kaixuan Huang & Jiaxi Zhao & Xin Chen & Zeng He & Jing He & Limeng Sun & Renrong Jiang & Chun Cui & Li Wang & Zhonghong Liu & Song Zhang & Haifeng Shu & Shengqing Lv & Chunqing Zhang & Dong Zhang & Di Wang & Hui Yang & Qiang Guo & Hongping Tan & Xiaolin Yang & Shiyong Liu & Zhongke Wang
January 2026, Volume 5, Issue 1
- 1-9 Moving beyond the empty cell: The threat of decontextualized healthcare data
by Aya El Mir & Eric Bezerra de Sousa & Ignacio Mesina-Estarrón & Leo Anthony Celi & Moad Hani & Mohammed Benjelloun & Neha Nageswaran & Saïd Mahmoudi & Shaheen Siddiqui & Sreeram Sadasivam & William Greig Mitchell - 1-12 Hierarchy and hope: Exploring AI’s role in medicine through a thematic analysis of online discourse
by Johan Pushani & Sherwin Rajkumar & Alishya Burrell & Erin Peebles & Amrit Kirpalani - 1-15 Digitally delivered, systemically challenged: A qualitative study of health system readiness for digital care
by Laurel O’Connor & Leah Dunkel & Andrew C Weitz & Allan Walkey & Peter K Lindenauer & Apurv Soni - 1-16 Economic cost of strategic implementation approaches to increase uptake of digital therapeutics for substance use disorders in a large integrated health system
by Edwin S Wong & Caitlin N Dorsey & Tara C Beatty & Jennifer F Bobb & Kelsey Stefanik-Guizlo & Dustin L Key & Arvind Ramaprasan & Abisola E Idu & John C Fortney & Jessica Mogk & Lorella Palazzo & Ryan M Caldeiro & Deborah King & Angela Garza McWethy & Joseph E Glass - 1-19 A pilot feasibility study of human-centered design for cirrhosis care: Development and pilot testing of SMARTLiver prototype, a FHIR-based clinical decision support system for hepatology
by Keerthika Sunchu & Archita P Desai & Raj Vuppalanchi & Saptarshi Purkayastha - 1-19 Validation of a markerless motion capture app for automated scoring of sit-to-stand, timed up and go, and short physical performance battery tests in adults with chronic disease
by Jennifer K Bertrand & Margaret L McNeely & Jack Bates & Joshua Joy & Jenil Kanani & Victor E Ezeugwu & Puneeta Tandon - 1-20 Development and evaluation of machine learning algorithms for the prediction of opioid-related deaths among UK patients with non-cancer pain
by Jose Benitez-Aurioles & Carlos Raul Ramirez Medina & David Jenkins & Niels Peek & Meghna Jani - 1-26 Remote home cardiotocography: A systematic review and meta-analysis
by Jack Le Vance & Adekunle Adeoye & Rebecca Man & Nashwa Eltaweel & Leo Gurney & RKatie Morris & Victoria Hodgetts Morton
December 2025, Volume 4, Issue 12
- 1-14 Interaction with SMS text-reminders correlate with improved medication adherence and readmission rates for congestive heart failure patients: A retrospective cohort study
by Ben Long & Brian Davis & Rebekah McPheters & Steven Burton & Nabeel Hamoud & Dan Garmat & Suzanne Catalfomo & Fei Li & Ying Zhou & Yan L Zhuang & Colin A Banas & Weston W Blakeslee - 1-19 Developing and validating an explainable digital mortality prediction tool for extremely preterm infants
by T’ng Chang Kwok & Chao Chen & Jayaprakash Veeravalli & Carol AC Coupland & Edmund Juszczak & Jonathan Garibaldi & Kirsten Mitchell & Kate L Francis & Christopher J D McKinlay & Brett J Manley & Don Sharkey
November 2025, Volume 4, Issue 11
- 1-5 Geospatial tools in leprosy elimination: Enhancing precision in active case detection and resource allocation
by Anil Fastenau & Denis A Yawovi Gadah & Akila Wimima Bakoubayi & Piham Gnossike & Felicitas Schwermann & Matthew Willis & Fabian Schlumberger & Thomas Hambridge & Sundeep Chaitanya Vedithi & Sophie C W Stuetzle & Patricia D Deps & Nimer Ortuño-Gutiérrez - 1-12 Explainable machine learning model for predicting cesarean section following induction of labor: Development and external validation using real-world data
by Yanan Hu & Xin Zhang & Valerie Slavin & Joanne Enticott & Emily Callander - 1-13 Personalized decision-making through AI solutions in pediatric emergency medicine: Focusing on febrile children
by Lina Jankauskaite & Urte Oniunaite & Rimantas Kevalas - 1-16 Evaluating algorithmic fairness of machine learning models in predicting underweight, overweight, and adiposity across socioeconomic and caste groups in India: evidence from the longitudinal ageing study in India
by John Tayu Lee & Sheng Hui Hsu & Vincent Cheng-Sheng Li & Kanya Anindya & Meng-Huan Chen & Charlotte Wang & Toby Kai-Bo Shen & Valerie Tzu Ning Liu & Hsiao-Hui Chen & Rifat Atun - 1-21 Privacy-preserving AUC computation in distributed machine learning with PHT-meDIC
by Marius de Arruda Botelho & Cem Ata Baykara & Ali Burak Ünal & Nico Pfeifer & Mete Akgün - 1-24 Bridging the gap between community health workers’ digital health acceptance and actual usage in Uganda: Exploring key external factors based on technology acceptance model
by Miiro Chraish & Chisato Oyama & Yuma Aoki & Ddembe Andrew & Monami Nishio & Shoi Shi & Hiromu Yakura - 1-25 Creating a general-purpose generative model for healthcare data based on multiple clinical studies
by Hiroshi Maruyama & Kotatsu Bito & Yuki Saito & Masanobu Hibi & Shun Katada & Aya Kawakami & Kenta Oono & Nontawat Charoenphakdee & Zhengyan Gao & Hideyoshi Igata & Masashi Yoshikawa & Yoshiaki Ota & Hiroki Okui & Kei Akita & Shoichiro Yamaguchi & Yohei Sugawara & Shin-ichi Maeda
October 2025, Volume 4, Issue 10
- 1-5 Bridging data gaps and tackling human vulnerabilities in healthcare cybersecurity with generative AI
by Mohammad S Jalali & Karen Largman - 1-13 Eliminating the AI digital divide by building local capacity
by Freya Gulamali & Jee Young Kim & Kartik Pejavara & Ciera Thomas & Varoon Mathur & Zev Eigen & Mark Lifson & Manesh Patel & Keo Shaw & Danny Tobey & Alexandra Valladares & David Vidal & Jared Augenstein & Ashley Beecy & Sofi Bergkvist & Michael Burns & Michael Draugelis & Jesse M Ehrenfeld & Patricia Henwood & Tonya Jagneaux & Morgan Jeffries & Christopher Khuory & Frank J Liao & Vincent X Liu & Chris Longhurst & Dominic Mack & Thomas M Maddox & David McSwain & Steve Miff & Corey Miller & Sara G Murray & Brian W Patterson & Philip Payne & W Nicholson Price II & Ram Rimal & Michael J Sheppard & Karandeep Singh & Abdoul Sosseh & Jennifer Stoll & Corinne Stroum & Yasir Tarabichi & Sylvia Trujillo & Ladd Wiley & Alifia Hasan & Joan S Kpodzro & Suresh Balu & Mark P Sendak - 1-15 Assessment of digital payment for agents in mass chemoprevention campaigns: The Karangué Fay project in Senegal
by Jean Augustin Diegane Tine & Amadou Yeri Camara & Aminata Diaw & Meissa Seck & Saliou Séne & Fatoumata Zahra Mohamed Mboup & Amadou Ibra Diallo & Fatoumata Bintou Diongue & Mouhamadou Faly Ba & Ibrahima Ndiaye & Souleymane Ndiaye & Adama Faye - 1-16 Risk factors and predictive performance for first healthcare encounter indicating homelessness using administrative data among Calgary residents diagnosed with addiction or mental health conditions
by Faezehsadat Shahidi & M Ethan MacDonald & Dallas Seitz & Rebecca Barry & Geoffrey Messier - 1-17 On the road to vision zero: How unit-dose dispensing systems and health-IT are transforming clinical practices
by Saskia Herrmann & Natalie Bräuer & Tobias Zimmermann & Thomas Steiner & Dominic Fenske & Jana Gerstmeier - 1-18 Predicting individual food valuation via vision-language embedding model
by Hiroki Kojima & Asako Toyama & Shinsuke Suzuki & Yuichi Yamashita - 1-25 A lightweight deep neural network for personalized detecting ventricular arrhythmias from a single-lead ECG device
by Zhejun Sun & Wenrui Zhang & Yuxi Zhou & Shijia Geng & Deyun Zhang & Jiaze Wang & Bin Liu & Zhaoji Fu & Linlin Zheng & Chenyang Jiang & Guigang Zhang & Shenda Hong
September 2025, Volume 4, Issue 9
- 1-11 Ranking and selecting hospital information systems: A multi-criteria decision making approach using TOPSIS in Hamadan, Iran
by Hamid Bouraghi & Ali Mohammadpour & Ahmad Maamaki & Parviz Karamiyan - 1-15 Integrating multiple data sources to predict all-cause readmission or mortality in patients with substance misuse
by Tim Gruenloh & Preeti Gupta & Askar Safipour Afshar & Madeline Oguss & Elizabeth Salisbury-Afshar & Marie Pisani & Ryan P Westergaard & Michael Spigner & Megan Gussick & Matthew Churpek & Majid Afshar & Anoop Mayampurath - 1-16 Detection of pneumonia in children through chest radiographs using artificial intelligence in a low-resource setting: A pilot study
by Taofeeq Oluwatosin Togunwa & Abdulhammed Opeyemi Babatunde & Oluwatosin Ebunoluwa Fatade & Richard Olatunji & Godwin Ogbole & Adegoke Falade - 1-17 Exploring the clinical utility of rhythmic digital markers for schizophrenia
by Axel Constant & Vincent Paquin & Robert A Ackerman & Colin A Depp & Raeanne C Moore & Philip D Harvey & Amy E Pinkham - 1-21 Individualized machine-learning-based clinical assessment recommendation system
by Devin Setiawan & Yumiko Wiranto & Jeffrey M Girard & Amber Watts & Arian Ashourvan - 1-22 Predicting patient enrollment in a telephone-based principal care management service using topic modeling
by Annisa Marlin Masbar Rus & Julie S Ivy & Min Chi & Mitchell Plyler & Elaine Wells-Gray & Maria E Mayorga - 1-23 Detecting papilloedema as a marker of raised intracranial pressure using artificial intelligence: A systematic review
by Lekaashree Rambabu & Thomas Edmiston & Brandon G Smith & Katharina Kohler & Angelos G Kolias & Richard A I Bethlehem & Pearse A Keane & Hani J Marcus & EyeVu Consortium & Peter J Hutchinson & Tom Bashford - 1-26 Artificial intelligence applications in refractive error management: A systematic review and meta-analysis
by Josephine Ampong & Sylvia Agyekum & Werner Eisenbarth & Albert Kwadjo Amoah Andoh & Isaiah Osei Duah Junior & Gabriel Amankwah & Gabriel Kwaku Agbeshie & Eldrick Adu Acquah & Clement Afari & Emmanuel Assan & Saphiel Osei Poku & Karen Ama Sam & Josephine Ampomah Boateng & Kwadwo Owusu Akuffo
August 2025, Volume 4, Issue 8
- 1-4 Healthy futures online: A rights-based perspective on digital health literacy for children and youth
by Jia Lin & Maria Fernanda Vargas Herrera & Alice Sofia Rubio & Taty Diego & Marie-Eve Turcotte & Alexanne Dumas & Malika Saher & Bertrand Lebouché & Esli Osmanlliu - 1-12 Assessing the generalisation of artificial intelligence across mammography manufacturers
by Alistair J Hickman & Sandra Gomes & Lucy M Warren & Nadia AS Smith & Caroline Shenton-Taylor - 1-15 Impak Sihat: A telehealth system development and feasibility evaluation to empower rural population in Malaysia on the quality use of medicines
by Nor Ilyani Mohamed Nazar & Norny Syafinaz Ab Rahman & Nor Elina Alias & Syahrir Zaini & Tg Karmila Tg Mohd Kamil & Nurjasmine Aida Jamani & Mohamed Hassan Elnaem - 1-16 Development and Validation of DIANA (Diabetes Novel Subgroup Assessment tool): A web-based precision medicine tool to determine type 2 diabetes endotype membership and predict individuals at risk of microvascular disease
by Viswanathan Baskar & Mani Arun Vignesh & Sumanth C Raman & Arun Jijo & Bhavadharini Balaji & Nico Steckhan & Lena Maria Klara Roth & Moneeza K Siddiqui & Saravanan Jebarani & Ranjit Unnikrishnan & Viswanathan Mohan & Ranjit Mohan Anjana - 1-21 Development of a digital, self-guided return-to-work toolkit for stroke survivors and employers using intervention mapping
by Kristelle Craven & Jain Holmes & Jade Kettlewell & Kathryn Radford - 1-26 Characterizing the role of early life factors in machine learning-based multimorbidity risk prediction
by Vien Ngoc Dang & Charlotte Cecil & Carmine M Pariante & Jerónimo Hernández-González & Karim Lekadir
July 2025, Volume 4, Issue 7
- 1-4 Bridging the gaps in Universal Health Coverage using Digital Health Citizenship
by Rupal Jain & Rajarshi Dasgupta - 1-8 The role of artificial intelligence in maternal and child health: Progress, controversies, and future directions
by Audêncio Victor - 1-10 Raising awareness of potential biases in medical machine learning: Experience from a Datathon
by Harry Hochheiser & Jesse Klug & Thomas Mathie & Tom J Pollard & Jesse D Raffa & Stephanie L Ballard & Evamarie A Conrad & Smitha Edakalavan & Allan Joseph & Nader Alnomasy & Sarah Nutman & Veronika Hill & Sumit Kapoor & Eddie Pérez Claudio & Olga V Kravchenko & Ruoting Li & Mehdi Nourelahi & Jenny Diaz & W Michael Taylor & Sydney R Rooney & Maeve Woeltje & Leo Anthony Celi & Christopher M Horvat - 1-11 Digital health technologies for accessing contraceptive services among young people in Sub-Saharan Africa: A scoping review protocol
by Agnes Kyamulabi & Eva Oberle & Lotenna Olisaeloka & Innocent Kamya & Ingrid Nyesigire & Wendy V Norman & Abdul-Fatawu Abdulai - 1-12 Citizens’ feedback on health service and the responses of health authorities of Bangladesh: An analysis of the Grievance Redress System
by Md Abdullah Saeed Khan & Md Toufiq Hassan Shawon & Atonu Rabbani - 1-13 An artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data
by Ngan Nguyen Lyle & Ho Quang Chanh & Hao Nguyen Van & James Anibal & Stefan Karolcik & Damien Ming & Giang Nguyen Thi & Huyen Vu Ngo Thanh & Huy Nguyen Quang & Hai Ho Bich & Khoa Le Dinh Van & Van Hoang Minh Tu & Khanh Phan Nguyen Quoc & Huynh Trung Trieu & Qui Tu Phan & Tho Phan Vinh & Tai Luong Thi Hue & Pantelis Georgiou & Louise Thwaites & Sophie Yacoub & on behalf of the Vietnam ICU Translational Applications Laboratory (VITAL) investigators - 1-15 Community-acquired pneumonia identification from electronic health records in the absence of a gold standard: A Bayesian latent class analysis
by Jia Wei & Kevin Yuan & Augustine Luk & A Sarah Walker & David W Eyre - 1-16 Short-horizon neonatal seizure prediction using EEG-based deep learning
by Jonathan Kim & Edilberto Amorim & Vikram R Rao & Hannah C Glass & Danilo Bernardo - 1-18 Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review
by Ting Wang & Elham Emami & Dana Jafarpour & Raymond Tolentino & Genevieve Gore & Samira Abbasgholizadeh Rahimi - 1-20 A comparative approach of machine learning models to predict attrition in a diabetes management program
by Samantha Kanny & Grisha Post & Patricia Carbajales-Dale & William Cummings & Janet Evatt & Windsor Westbrook Sherrill - 1-21 Integrating digital health technologies into the healthcare system: Challenges and opportunities in Nigeria
by Adaeze E Egwudo & Ayodapo O Jegede & Tolulope A Oyeniyi & Nkolika J Ezekwelu & Samirah N Abdu-Aguye & Azuka P Okwuraiwe & Chizaram A Onyeaghala & Theresa O Ozoude & Muritala O Suleiman & Grace O Aziken & Oluchukwu P Okeke & Olunike R Abodunrin & George U Eleje & Folahanmi T Akinsolu & Olajide O Sobande - 1-22 Effectiveness of telerehabilitation for adults with neurological conditions in low and middle income countries: A systematic review
by Eric Nkansah Opoku & Lorna Paul & Derrick Antwi & Katie Thomson & Shadrack Osei Asibey & Marian C Brady & Frederike van Wijck & Fred Stephen Sarfo - 1-23 Implicit versus explicit Bayesian priors for epistemic uncertainty estimation in clinical decision support
by Malte Blattmann & Adrian Lindenmeyer & Stefan Franke & Thomas Neumuth & Daniel Schneider - 1-23 Behavioral engagement patterns and psychosocial outcomes in web-based interpretation bias training for anxiety
by Ángel Francisco Vela de la Garza Evia & Jeremy William Eberle & Sonia Baee & Emma Catherine Wolfe & Mehdi Boukhechba & Daniel Harold Funk & Bethany Ann Teachman & Laura Elizabeth Barnes
June 2025, Volume 4, Issue 6
- 1-3 Logged in, not lagging behind: A purpose-oriented use of technology for youth health
by Matea Cañizares - 1-13 Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria
by Tushar Garg & Stephen John & Suraj Abdulkarim & Adamu D Ahmed & Beatrice Kirubi & Md Toufiq Rahman & Emperor Ubochioma & Jacob Creswell - 1-13 Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes
by Helene Bei Thomsen & Livie Yumeng Li & Anders Aasted Isaksen & Benjamin Lebiecka-Johansen & Charline Bour & Guy Fagherazzi & William P T M van Doorn & Tibor V Varga & Adam Hulman - 1-14 An evaluation of telehealth services at New York City tuberculosis clinics throughout the COVID-19 pandemic
by Grace E Gao & Alice V Easton & Marco M Salerno & Matthew Angulo & Claudia Buchanan & Deandra J Ingram & Erica Humphrey & Marci Whitehead & Errol Robinson & Christine Chuck & Joseph Burzynski & Felicia Dworkin & Diana Nilsen & Michelle Macaraig - 1-14 Machine learning-based equations for improved body composition estimation in Indian adults
by Nick Birk & Bharati Kulkarni & Santhi Bhogadi & Aastha Aggarwal & Gagandeep Kaur Walia & Vipin Gupta & Usha Rani & Hemant Mahajan & Sanjay Kinra & Poppy A C Mallinson - 1-15 Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention
by Nathan C Hurley & Nihar Desai & Sanket S Dhruva & Rohan Khera & Wade Schulz & Chenxi Huang & Jeptha Curtis & Frederick Masoudi & John Rumsfeld & Sahand Negahban & Harlan M Krumholz & Bobak J Mortazavi - 1-15 Pharmacist-led rapid uptitration clinic in heart failure patients with reduced ejection fraction: Our experience within a virtual ward
by Hussein Alhakem & Angela Murphy & Liuba Fusco & Grant McQueen & Sarah Pearse & Jodian Barrett & Deirdre Linnard & Sadia Khan - 1-18 Analysing health misinformation with advanced centrality metrics in online social networks
by Mkululi Sikosana & Sean Maudsley-Barton & Oluwaseun Ajao - 1-18 The impact of mind-body internet and mobile-based interventions on fatigue in adults living with chronic physical conditions: A systematic review and meta-analysis of randomized controlled trials
by Serena Isley & Emily Johnson & Shaina Corrick & Ashley Hyde & Ben Vandermeer & Naomi Dolgoy & Nathanael Tabert & Edith Pituskin & Puneeta Tandon - 1-19 Challenges in detecting and predicting adverse drug events via distributed analysis of electronic health record data from German university hospitals
by Anna Maria Wermund & Torsten Thalheim & André Medek & Florian Schmidt & Thomas Peschel & Alexander Strübing & Daniel Neumann & André Scherag & Markus Loeffler & Miriam Kesselmeier & Ulrich Jaehde & for the POLAR_MI Consortium - 1-21 Machine learning-based hybrid risk estimation system (ERES) in cardiac surgery: Supplementary insights from the ASA score analysis
by Ayşe Banu Birlik & Hakan Tozan & Kevser Banu Köse - 1-22 Employing transfer learning for breast cancer detection using deep learning models
by Frimpong Twum & Charlyne Carol Eyram Ahiable & Stephen Opoku Oppong & Linda Banning & Kwabena Owusu-Agyemang - 1-23 Efficient slice anomaly detection network for 3D brain MRI Volume
by Zeduo Zhang & Yalda Mohsenzadeh - 1-24 Augmenting electronic health record data with social and environmental determinant of health measures to understand regional factors associated with asthma exacerbations
by Alana Schreibman & Kimberly Lactaoen & Jaehyun Joo & Patrick K Gleeson & Gary E Weissman & Andrea J Apter & Rebecca A Hubbard & Blanca E Himes
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 - 1-14 Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review
by Gerko Schaap & Benjamin Butt & Christina Bode - 1-17 Enhancing fairness in disease prediction by optimizing multiple domain adversarial networks
by Bin Li & Xiaoqian Jiang & Kai Zhang & Arif O Harmanci & Bradley Malin & Hongchang Gao & Xinghua Shi & the Alzheimer’s Disease Neuroimaging Initiative - 1-18 Assessing perioperative risks in a mixed elderly surgical population using machine learning: A multi-objective symbolic regression approach to cardiorespiratory fitness derived from cardiopulmonary exercise testing
by Pietro Arina & Davide Ferrari & Maciej R Kaczorek & Nicholas Tetlow & Amy Dewar & Robert Stephens & Daniel Martin & Ramani Moonesinghe & Mervyn Singer & John Whittle & Evangelos B Mazomenos - 1-20 Planning for successful participant recruitment and retention in trials of behavioural interventions: Feasibility randomised controlled trial of the Wrapped intervention
by Lauren Schumacher & Rik Crutzen & Kayleigh Kwah & Katherine Brown & Julia V Bailey & Stephen Bremner & Louise J Jackson & Katie Newby - 1-21 Impact of digital wound care solution on healing time: A descriptive study in home health settings
by Heba Tallah Mohammed & Robert D J Fraser & Amy Cassata - 1-27 AI-driven healthcare: Fairness in AI healthcare: A survey
by Sribala Vidyadhari Chinta & Zichong Wang & Avash Palikhe & Xingyu Zhang & Ayesha Kashif & Monique Antoinette Smith & Jun Liu & Wenbin Zhang - 1-29 From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities
by Shreya Chappidi & Mason J Belue & Stephanie A Harmon & Sarisha Jagasia & Ying Zhuge & Erdal Tasci & Baris Turkbey & Jatinder Singh & Kevin Camphausen & Andra V Krauze - 1-32 Utilizing process mining in quality management: A case study in radiation oncology
by Mohammad Bakhtiari
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 - 1-20 A BLE based turnkey indoor positioning system for mobility assessment in aging-in-place settings
by Haixin Wang & Guha Ganesh & Michael Zon & Oishee Ghosh & Henry Siu & Qiyin Fang - 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
- 1-11 EXAM: Ex-vivo allograft monitoring dashboard for the analysis of hypothermic machine perfusion data in deceased-donor kidney transplantation
by Simon Schwab & Hélène Steck & Isabelle Binet & Andreas Elmer & Wolfgang Ender & Nicola Franscini & Fadi Haidar & Christian Kuhn & Daniel Sidler & Federico Storni & Nathalie Krügel & Franz Immer - 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 Automated image transcription for perinatal blood pressure monitoring using mobile health technology
by Nasim Katebi & Whitney Bremer & Tony Nguyen & Daniel Phan & Jamila Jeff & Kirkland Armstrong & Paula Phabian-Millbrook & Marissa Platner & Kimberly Carroll & Banafsheh Shoai & Peter Rohloff & Sheree L Boulet & Cheryl G Franklin & Gari D Clifford - 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
- 1-9 Optimizing COVID-19 testing resources use with wearable sensors
by Giorgio Quer & Arinbjörn Kolbeinsson & Jennifer M Radin & Luca Foschini & Jay Pandit - 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 - 1-24 Towards artificial intelligence-based disease prediction algorithms that comprehensively leverage and continuously learn from real-world clinical tabular data systems
by Terrence J Lee-St. John & Oshin Kanwar & Emna Abidi & Wasim El Nekidy & Bartlomiej Piechowski-Jozwiak
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