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Content
October 2022, Volume 1, Issue 10
- 1-22 Population analysis of mortality risk: Predictive models from passive monitors using motion sensors for 100,000 UK Biobank participants
by Haowen Zhou & Ruoqing Zhu & Anita Ung & Bruce Schatz - 1-25 Effectiveness of tailored digital health interventions for mental health at the workplace: A systematic review of randomised controlled trials
by Thirimon Moe-Byrne & Jessie Shepherd & Dorota Merecz-Kot & Marjo Sinokki & Päivi Naumanen & Leona Hakkaart-van Roijen & Christina Van Der Feltz-Cornelis
September 2022, Volume 1, Issue 9
- 1-5 Addressing the “elephant in the room” of AI clinical decision support through organisation-level regulation
by Joe Zhang & Heather Mattie & Haris Shuaib & Tamishta Hensman & James T Teo & Leo Anthony Celi - 1-14 An economic evaluation of an online computer-tailored smoking cessation intervention that includes message frame-tailoring: A randomized controlled trial
by Maria B Altendorf & Julia C M van Weert & Ciska Hoving & Eline S Smit - 1-15 Leveraging mHealth usage logs to inform health worker performance in a Resource-Limited setting: Case example of mUzima use for a chronic disease program in Western Kenya
by Simon Savai & Jemimah Kamano & Lawrence Misoi & Peter Wakholi & Md Kamrul Hasan & Martin C Were - 1-16 Privacy-aware multi-institutional time-to-event studies
by Julian Späth & Julian Matschinske & Frederick K Kamanu & Sabina A Murphy & Olga Zolotareva & Mohammad Bakhtiari & Elliott M Antman & Joseph Loscalzo & Alissa Brauneck & Louisa Schmalhorst & Gabriele Buchholtz & Jan Baumbach
August 2022, Volume 1, Issue 8
- 1-13 Artificial intelligence and machine learning in mobile apps for mental health: A scoping review
by Madison Milne-Ives & Emma Selby & Becky Inkster & Ching Lam & Edward Meinert - 1-14 Prescription quantity and duration predict progression from acute to chronic opioid use in opioid-naïve Medicaid patients
by Drake G Johnson & Vy Thuy Ho & Jennifer M Hah & Keith Humphreys & Ian Carroll & Catherine Curtin & Steven M Asch & Tina Hernandez-Boussard - 1-16 Predictability and stability testing to assess clinical decision instrument performance for children after blunt torso trauma
by Aaron E Kornblith & Chandan Singh & Gabriel Devlin & Newton Addo & Christian J Streck & James F Holmes & Nathan Kuppermann & Jacqueline Grupp-Phelan & Jeffrey Fineman & Atul J Butte & Bin Yu - 1-17 A proposed de-identification framework for a cohort of children presenting at a health facility in Uganda
by Alishah Mawji & Holly Longstaff & Jessica Trawin & Dustin Dunsmuir & Clare Komugisha & Stefanie K Novakowski & Matthew O Wiens & Samuel Akech & Abner Tagoola & Niranjan Kissoon & J Mark Ansermino
July 2022, Volume 1, Issue 7
- 1-10 Evaluating criminal justice reform during COVID-19: The need for a novel sentiment analysis package
by Divya Ramjee & Louisa H Smith & Anhvinh Doanvo & Marie-Laure Charpignon & Alyssa McNulty-Nebel & Elle Lett & Angel N Desai & Maimuna S Majumder - 1-17 Point-of-care motion capture and biomechanical assessment improve clinical utility of dynamic balance testing for lower extremity osteoarthritis
by Ryan T Halvorson & Francine T Castillo & Fayyaz Ahamed & Karim Khattab & Aaron Scheffler & Robert P Matthew & Jeffrey Lotz & Thomas P Vail & Brian T Feeley & Jeannie F Bailey
June 2022, Volume 1, Issue 6
- 1-18 Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods
by Shiying You & Melanie H Chitwood & Kenneth S Gunasekera & Valeriu Crudu & Alexandru Codreanu & Nelly Ciobanu & Jennifer Furin & Ted Cohen & Joshua L Warren & Reza Yaesoubi - 1-18 Associations between Florida counties’ COVID-19 case and death rates and meaningful use among Medicaid providers: Cross-sectional ecologic study
by Katherine Freeman & Judith P Monestime - 1-20 A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study
by Yilin Ning & Siqi Li & Marcus Eng Hock Ong & Feng Xie & Bibhas Chakraborty & Daniel Shu Wei Ting & Nan Liu
May 2022, Volume 1, Issue 5
- 1-8 A distributed approach to the regulation of clinical AI
by Trishan Panch & Erin Duralde & Heather Mattie & Gopal Kotecha & Leo Anthony Celi & Melanie Wright & Felix Greaves - 1-10 Clinical time-to-event prediction enhanced by incorporating compatible related outcomes
by Yan Gao & Yan Cui - 1-12 A literature review on the analysis of symptom-based clinical pathways: Time for a different approach?
by Nammunikankanange Janak Gunatilleke & Jacques Fleuriot & Atul Anand - 1-14 A systematic review of federated learning applications for biomedical data
by Matthew G Crowson & Dana Moukheiber & Aldo Robles Arévalo & Barbara D Lam & Sreekar Mantena & Aakanksha Rana & Deborah Goss & David W Bates & Leo Anthony Celi - 1-18 Feature engineering and machine learning for computer-assisted screening of children with speech disorders
by Kerul Suthar & Farnaz Yousefi Zowj & Marisha Speights Atkins & Q Peter He - 1-23 General practitioners’ perceptions of using virtual primary care during the COVID-19 pandemic: An international cross-sectional survey study
by Edmond Li & Rosy Tsopra & Geronimo Jimenez & Alice Serafini & Gustavo Gusso & Heidrun Lingner & Maria Jose Fernandez & Greg Irving & Davorina Petek & Robert Hoffman & Vanja Lazic & Ensieh Memarian & Tuomas Koskela & Claire Collins & Sandra Milena Espitia & Ana Clavería & Katarzyna Nessler & Braden Gregory O’Neill & Kyle Hoedebecke & Mehmet Ungan & Liliana Laranjo & Saira Ghafur & Gianluca Fontana & Azeem Majeed & Josip Car & Ara Darzi & Ana Luisa Neves
April 2022, Volume 1, Issue 4
- 1-17 Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database
by Harvineet Singh & Vishwali Mhasawade & Rumi Chunara - 1-19 Predicting zip code-level vaccine hesitancy in US Metropolitan Areas using machine learning models on public tweets
by Sara Melotte & Mayank Kejriwal - 1-38 A systematic review of the prediction of hospital length of stay: Towards a unified framework
by Kieran Stone & Reyer Zwiggelaar & Phil Jones & Neil Mac Parthaláin
March 2022, Volume 1, Issue 3
- 1-11 Severity and mortality prediction models to triage Indian COVID-19 patients
by Samarth Bhatia & Yukti Makhija & Sneha Jayaswal & Shalendra Singh & Prabhat Singh Malik & Sri Krishna Venigalla & Pallavi Gupta & Shreyas N Samaga & Rabi Narayan Hota & Ishaan Gupta - 1-15 Individual illness dynamics: An analysis of children with sepsis admitted to the pediatric intensive care unit
by Sherry L Kausch & Brynne Sullivan & Michael C Spaeder & Jessica Keim-Malpass
February 2022, Volume 1, Issue 2
- 1-8 The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI)
by Julian Euma Ishii-Rousseau & Shion Seino & Daniel K Ebner & Maryam Vareth & Ming Jack Po & Leo Anthony Celi - 1-18 To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems
by Julia Amann & Dennis Vetter & Stig Nikolaj Blomberg & Helle Collatz Christensen & Megan Coffee & Sara Gerke & Thomas K Gilbert & Thilo Hagendorff & Sune Holm & Michelle Livne & Andy Spezzatti & Inga Strümke & Roberto V Zicari & Vince Istvan Madai & on behalf of the Z-Inspection initiative - 1-22 Transfer learning for non-image data in clinical research: A scoping review
by Andreas Ebbehoj & Mette Østergaard Thunbo & Ole Emil Andersen & Michala Vilstrup Glindtvad & Adam Hulman
January 2022, Volume 1, Issue 1
- 1-2 PLOS Digital Health, a new journal driving transformation in the delivery of equitable and unbiased healthcare
by Leo Anthony Celi - 1-4 Making data for good better
by Caroline Buckee & Satchit Balsari & Andrew Schroeder - 1-4 Open challenges in developing digital therapeutics in the United States
by Brenda Y Miao & Douglas Arneson & Michelle Wang & Atul J Butte - 1-12 Regulatory-approved deep learning/machine learning-based medical devices in Japan as of 2020: A systematic review
by Nao Aisu & Masahiro Miyake & Kohei Takeshita & Masato Akiyama & Ryo Kawasaki & Kenji Kashiwagi & Taiji Sakamoto & Tetsuro Oshika & Akitaka Tsujikawa - 1-13 Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam
by Damien K Ming & Bernard Hernandez & Sorawat Sangkaew & Nguyen Lam Vuong & Phung Khanh Lam & Nguyen Minh Nguyet & Dong Thi Hoai Tam & Dinh The Trung & Nguyen Thi Hanh Tien & Nguyen Minh Tuan & Nguyen Van Vinh Chau & Cao Thi Tam & Ho Quang Chanh & Huynh Trung Trieu & Cameron P Simmons & Bridget Wills & Pantelis Georgiou & Alison H Holmes & Sophie Yacoub & on behalf of the Vietnam ICU Translational Applications Laboratory (VITAL) investigators - 1-14 Best practices in the real-world data life cycle
by Joe Zhang & Joshua Symons & Paul Agapow & James T Teo & Claire A Paxton & Jordan Abdi & Heather Mattie & Charlie Davie & Aracelis Z Torres & Amos Folarin & Harpreet Sood & Leo A Celi & John Halamka & Sara Eapen & Sanjay Budhdeo - 1-16 Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible
by Tyler J Loftus & Patrick J Tighe & Tezcan Ozrazgat-Baslanti & John P Davis & Matthew M Ruppert & Yuanfang Ren & Benjamin Shickel & Rishikesan Kamaleswaran & William R Hogan & J Randall Moorman & Gilbert R Upchurch Jr & Parisa Rashidi & Azra Bihorac - 1-21 Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials
by Simon B Goldberg & Sin U Lam & Otto Simonsson & John Torous & Shufang Sun