PLOS Digital Health

2022 - 2025

From Public Library of Science
Bibliographic data for series maintained by digitalhealth ().

Access Statistics for this journal.
Is something missing from the series or not right? See the RePEc data check for the archive and series.

Volume 1, issue 12, 2022

Optimal mode of delivery in pregnancy: Individualized predictions using national vital statistics data pp. 1-18

Karl W Schulz, Kelly Gaither, Corwin Zigler, Tomislav Urban, Justin Drake and Radek Bukowski

Governing partnerships with technology companies as part of the COVID-19 response in Canada: A qualitative case study pp. 1-26

Vinyas Harish, Thomas G Samson, Lori Diemert, Ashleigh Tuite, Muhammad Mamdani, Kamran Khan, Anita McGahan, James A Shaw, Sunit Das and Laura C Rosella

Reproducibility of deep learning in digital pathology whole slide image analysis pp. 1-21

Christina Fell, Mahnaz Mohammadi, David Morrison, Ognjen Arandjelovic, Peter Caie and David Harris-Birtill

Volume 1, issue 11, 2022

Computational analyses identify addiction help-seeking behaviors on the social networking website Reddit: Insights into online social interactions and addiction support communities pp. 1-15

Danny Valdez and Megan S Patterson

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 pp. 1-3

Simon B Goldberg, John Torous and Shufang Sun

Telehealth interventions for substance use disorders in low- and- middle income countries: A scoping review pp. 1-18

Margaret Isioma Ojeahere, Sarah Kanana Kiburi, Paul Agbo, Rakesh Kumar and Florence Jaguga

Mobile phone–based interventions for mental health show promise of effectiveness, but what does the evidence tell us about what needs to come next? pp. 1-4

Nicholas C Jacobson, Patricia Areán and Stephen M Schueller

Volume 1, issue 10, 2022

Effectiveness of tailored digital health interventions for mental health at the workplace: A systematic review of randomised controlled trials pp. 1-25

Thirimon Moe-Byrne, Jessie Shepherd, Dorota Merecz-Kot, Marjo Sinokki, Päivi Naumanen, Leona Hakkaart- van Roijen and Christina Van Der Feltz-Cornelis

Population analysis of mortality risk: Predictive models from passive monitors using motion sensors for 100,000 UK Biobank participants pp. 1-22

Haowen Zhou, Ruoqing Zhu, Anita Ung and Bruce Schatz

Global healthcare fairness: We should be sharing more, not less, data pp. 1-13

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 and Leo Anthony Celi

German medical students´ views regarding artificial intelligence in medicine: A cross-sectional survey pp. 1-13

Stuart McLennan, Andrea Meyer, Korbinian Schreyer and Alena Buyx

Uncertain imputation for time-series forecasting: Application to COVID-19 daily mortality prediction pp. 1-18

Rayane Elimam, Nicolas Sutton-Charani, Stéphane Perrey and Jacky Montmain

Physiologic signatures within six hours of hospitalization identify acute illness phenotypes pp. 1-21

Yuanfang Ren, Tyler J Loftus, Yanjun Li, Ziyuan Guan, Matthew M Ruppert, Shounak Datta, Gilbert R Upchurch, Patrick J Tighe, Parisa Rashidi, Benjamin Shickel, Tezcan Ozrazgat-Baslanti and Azra Bihorac

Volume 1, issue 9, 2022

An economic evaluation of an online computer-tailored smoking cessation intervention that includes message frame-tailoring: A randomized controlled trial pp. 1-14

Maria B Altendorf, Julia C M van Weert, Ciska Hoving and Eline S Smit

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 pp. 1-15

Simon Savai, Jemimah Kamano, Lawrence Misoi, Peter Wakholi, Md Kamrul Hasan and Martin C Were

Privacy-aware multi-institutional time-to-event studies pp. 1-16

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 and Jan Baumbach

Addressing the “elephant in the room” of AI clinical decision support through organisation-level regulation pp. 1-5

Joe Zhang, Heather Mattie, Haris Shuaib, Tamishta Hensman, James T Teo and Leo Anthony Celi

Volume 1, issue 8, 2022

Predictability and stability testing to assess clinical decision instrument performance for children after blunt torso trauma pp. 1-16

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 and Bin Yu

Prescription quantity and duration predict progression from acute to chronic opioid use in opioid-naïve Medicaid patients pp. 1-14

Drake G Johnson, Vy Thuy Ho, Jennifer M Hah, Keith Humphreys, Ian Carroll, Catherine Curtin, Steven M Asch and Tina Hernandez-Boussard

A proposed de-identification framework for a cohort of children presenting at a health facility in Uganda pp. 1-17

Alishah Mawji, Holly Longstaff, Jessica Trawin, Dustin Dunsmuir, Clare Komugisha, Stefanie K Novakowski, Matthew O Wiens, Samuel Akech, Abner Tagoola, Niranjan Kissoon and J Mark Ansermino

Volume 1, issue 7, 2022

Point-of-care motion capture and biomechanical assessment improve clinical utility of dynamic balance testing for lower extremity osteoarthritis pp. 1-17

Ryan T Halvorson, Francine T Castillo, Fayyaz Ahamed, Karim Khattab, Aaron Scheffler, Robert P Matthew, Jeffrey Lotz, Thomas P Vail, Brian T Feeley and Jeannie F Bailey

Evaluating criminal justice reform during COVID-19: The need for a novel sentiment analysis package pp. 1-10

Divya Ramjee, Louisa H Smith, Anhvinh Doanvo, Marie-Laure Charpignon, Alyssa McNulty-Nebel, Elle Lett, Angel N Desai and Maimuna S Majumder

Volume 1, issue 6, 2022

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 pp. 1-20

Yilin Ning, Siqi Li, Marcus Eng Hock Ong, Feng Xie, Bibhas Chakraborty, Daniel Shu Wei Ting and Nan Liu

Associations between Florida counties’ COVID-19 case and death rates and meaningful use among Medicaid providers: Cross-sectional ecologic study pp. 1-18

Katherine Freeman and Judith P Monestime

Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods pp. 1-18

Shiying You, Melanie H Chitwood, Kenneth S Gunasekera, Valeriu Crudu, Alexandru Codreanu, Nelly Ciobanu, Jennifer Furin, Ted Cohen, Joshua L Warren and Reza Yaesoubi

Volume 1, issue 5, 2022

A systematic review of federated learning applications for biomedical data pp. 1-14

Matthew G Crowson, Dana Moukheiber, Aldo Robles Arévalo, Barbara D Lam, Sreekar Mantena, Aakanksha Rana, Deborah Goss, David W Bates and Leo Anthony Celi

A literature review on the analysis of symptom-based clinical pathways: Time for a different approach? pp. 1-12

Nammunikankanange Janak Gunatilleke, Jacques Fleuriot and Atul Anand

General practitioners’ perceptions of using virtual primary care during the COVID-19 pandemic: An international cross-sectional survey study pp. 1-23

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 and Ana Luisa Neves

A distributed approach to the regulation of clinical AI pp. 1-8

Trishan Panch, Erin Duralde, Heather Mattie, Gopal Kotecha, Leo Anthony Celi, Melanie Wright and Felix Greaves

Feature engineering and machine learning for computer-assisted screening of children with speech disorders pp. 1-18

Kerul Suthar, Farnaz Yousefi Zowj, Marisha Speights Atkins and Q Peter He

Clinical time-to-event prediction enhanced by incorporating compatible related outcomes pp. 1-10

Yan Gao and Yan Cui

Volume 1, issue 4, 2022

A systematic review of the prediction of hospital length of stay: Towards a unified framework pp. 1-38

Kieran Stone, Reyer Zwiggelaar, Phil Jones and Neil Mac Parthaláin

Predicting zip code-level vaccine hesitancy in US Metropolitan Areas using machine learning models on public tweets pp. 1-19

Sara Melotte and Mayank Kejriwal

Generalizability challenges of mortality risk prediction models: A retrospective analysis on a multi-center database pp. 1-17

Harvineet Singh, Vishwali Mhasawade and Rumi Chunara

Volume 1, issue 3, 2022

Severity and mortality prediction models to triage Indian COVID-19 patients pp. 1-11

Samarth Bhatia, Yukti Makhija, Sneha Jayaswal, Shalendra Singh, Prabhat Singh Malik, Sri Krishna Venigalla, Pallavi Gupta, Shreyas N Samaga, Rabi Narayan Hota and Ishaan Gupta

Individual illness dynamics: An analysis of children with sepsis admitted to the pediatric intensive care unit pp. 1-15

Sherry L Kausch, Brynne Sullivan, Michael C Spaeder and Jessica Keim-Malpass

Volume 1, issue 2, 2022

The “Ecosystem as a Service (EaaS)” approach to advance clinical artificial intelligence (cAI) pp. 1-8

Julian Euma Ishii-Rousseau, Shion Seino, Daniel K Ebner, Maryam Vareth, Ming Jack Po and Leo Anthony Celi

To explain or not to explain?—Artificial intelligence explainability in clinical decision support systems pp. 1-18

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 and on behalf of the Z-Inspection Initiative

Transfer learning for non-image data in clinical research: A scoping review pp. 1-22

Andreas Ebbehoj, Mette Østergaard Thunbo, Ole Emil Andersen, Michala Vilstrup Glindtvad and Adam Hulman

Volume 1, issue 1, 2022

Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam pp. 1-13

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 and on behalf of the Vietnam ICU Translational Applications Laboratory (VITAL) Investigators

Best practices in the real-world data life cycle pp. 1-14

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 and Sanjay Budhdeo

PLOS Digital Health, a new journal driving transformation in the delivery of equitable and unbiased healthcare pp. 1-2

Leo Anthony Celi

Regulatory-approved deep learning/machine learning-based medical devices in Japan as of 2020: A systematic review pp. 1-12

Nao Aisu, Masahiro Miyake, Kohei Takeshita, Masato Akiyama, Ryo Kawasaki, Kenji Kashiwagi, Taiji Sakamoto, Tetsuro Oshika and Akitaka Tsujikawa

Mobile phone-based interventions for mental health: A systematic meta-review of 14 meta-analyses of randomized controlled trials pp. 1-21

Simon B Goldberg, Sin U Lam, Otto Simonsson, John Torous and Shufang Sun

Open challenges in developing digital therapeutics in the United States pp. 1-4

Brenda Y Miao, Douglas Arneson, Michelle Wang and Atul J Butte

Making data for good better pp. 1-4

Caroline Buckee, Satchit Balsari and Andrew Schroeder

Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible pp. 1-16

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, Parisa Rashidi and Azra Bihorac