PLOS Digital Health

2022 - 2026

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Volume 5, issue 5, 2026

Early identification of high-risk individuals for mortality after lung transplantation: A retrospective cohort study with topological feature engineering pp. 1-29

Alexy Tran-Dinh, Enora Atchade, Sébastien Tanaka, Brice Lortat-Jacob, Yves Castier, Hervé Mal, Jonathan Messika, Pierre Mordant, Philippe Montravers and Ian Morilla

Optimization of artificial intelligence models for prediction of new-onset cardiovascular disease in patients with arterial hypertension pp. 1-18

Enrique Rodilla, Olast Arrizibita-Iriarte, Blanca Miranda-Serrano, Luis-Miguel Ruilope-Urioste, Germán Sedano-Gil, Alberto Ortiz, José-Antonio Costa-Muñoz, José Chordá-Ribelles, Maialen Zabalza-Zudaire and Onintza Sayar-Beristain

Deep-learning time-series anomaly detection of acute kidney injury from creatinine–eGFR trajectories in the ICU pp. 1-19

Yoonjin Kang, Soojeong Yun, Seung Min Song, Ji Eun Kim, Hyo Jin Kim, Eun Jung Cho, Shin Young Ahn, Young Joo Kwon and Min Woo Kang

Engaging individuals in digital health research panels: A qualitative study including participants in vulnerable positions pp. 1-19

Corine Oldhoff-Nuijsink, Mirjam P Fransen, Jeanine Suurmond, Linda WP Peute and Marloes E Derksen

Identifying factors associated with vaping cessation in young adults: A machine learning and XAI approach pp. 1-1

Poolakkad S Satheeshkumar, Ian Lango, Swarnali Zafo, Mikaiel Ebanks, Rahul Kumar Das, Kit Wai Cheung, Roberto Pili and Supriya D Mahajan

Volume 5, issue 4, 2026

Leveraging deep learning to infer continuous predictions from ordinal labels in medical imaging pp. 1-17

Katharina V Hoebel, Andréanne Lemay, John Peter Campbell, Susan Ostmo, Michael F Chiang, Christopher P Bridge, Matthew D Li, Praveer Singh, Aaron S Coyner and Jayashree Kalpathy-Cramer

Sharing digital health data responsibly: Balancing open science with participant privacy pp. 1-5

Camille Nebeker, Shahin Samiei and Santosh Kumar

Machine Learning-Based Pattern Recognition of Risk Factors for Low Back Pain among Adolescent Cricket Players in Dhaka City pp. 1-1

Marzana Afrooj Ria, Tasrima Trisha Ratna, Shudeshna Chakraborttye Purba, Rubal Kar, Mohoshina Karim, Md Osman Ali, Erfat Jaren Chaity, Shahadath Hossen, Joynal Abedin Imran and Shahriar Hasan

Equiflow: An open-source software package for evaluating changes in cohort composition pp. 1-15

Jacob Gould Ellen, Chrystinne Fernandes, Martin Viola, Keagan Yap, Arinda Jordan, Mutesi Flavia Kirabo, João Matos, Pedro Moreira and Leo Anthony Celi

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 pp. 1-25

Adam C Szekely-Kohn, Marco Castellani, Luca Baronti, Zubair Ahmed, William G K Manifold, Michael Douglas and Daniel M Espino

A pilot study of the online Acceptance and Commitment Therapy Guide for Immigrant Resilience: A culturally adapted intervention for undocumented community members pp. 1-20

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 and Michael E Levin

Use of generative AI for health among urban youth in Pakistan: A mixed-methods study pp. 1-20

Ahsan Mashhood, Aamna Ahmed, Inaya Khan, Maryam Hashim and Sara Baloch

Telemedicine adoption in cardiology: Determinants and predictors identified using Bayesian Model Averaging and Machine Learning pp. 1-18

Pascal Petit, Jonathan Nübel, Marie Josephine Walter, Christian Butter, Martin Heinze, Yuriy Ignatyev, Anja Haase-Fielitz, Nicolas Vuillerme and Felix Muehlensiepen

Artificial intelligence for research capacity strengthening: Two reviews and a pathway to shift power in global health pp. 1-14

Brian Wahl, Tiffany Nassiri-Ansari, Daniel D Redpath, Pascale Allotey and Nina Schwalbe

An effective deep learning algorithm for medical image registration pp. 1-22

Jinqiu Deng, Ke Chen, Mingke Li, Zhichao Zuo, Alejandro F Frangi and Jianping Zhang

Volume 5, issue 3, 2026

The adaptive large language models for vaccine prediction: A novel approach to vaccine demand prediction with engineered deviation prompts pp. 1-14

Mingming Chen, Qiangsong Wu, Zilong Wang, Qi Qi, Yi Hu and Tenglong Li

Impact of electronic health records on nursing workflow efficiency and predictive factors in Palestinian hospitals pp. 1-13

Fuad Farajalla, Mousa Farajallah, Nesreen Alqaissi, Mohammad Qtait and Zeenat Mousa Mesk

Clustering of disease trajectories with explainable machine learning: A case study on postoperative delirium phenotypes pp. 1-21

Xiaochen Zheng, Ahmed Allam, Manuel Schürch, Xingyu Chen, Maria Angeliki Komninou, Reto Schüpbach, Jan Bartussek and Michael Krauthammer

Cardiology knowledge assessment of retrieval-augmented open versus proprietary large language models pp. 1-11

Constantine Tarabanis, Shaan Khurshid, Areti Karamanou, Rodo Piperaki, Lucas A Mavromatis, Aris Hatzimemos, Dimitrios Tachmatzidis, Constantinos Bakogiannis, Vassilios Vassilikos, Patrick T Ellinor, Lior Jankelson and Evangelos Kalampokis

Vascular age estimation using a consumer wearable sleep tracker pp. 1-20

Gizem Yilmaz, Shohreh Ghorbani, Ju Lynn Ong, Hosein Aghayan Golkashani, Chen Zhang, B T Thomas Yeo and Michael W L Chee

Autism data sharing: Benefits, challenges, and recommendations pp. 1-18

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 and Tony Charman

Advancing the science of qualitative patient preference assessment using large language models pp. 1-18

Ted Grover, Emanuel Krebs, Deirdre Weymann, Morgan Ehman and Dean A Regier

Participatory-informed preference optimization (PiPrO): A reinforcement learning simulation study pp. 1-18

Tara Templin, Shuyi Song, Sophia Fort and Nasa Sinnott-Armstrong

SynthCraft: An AI partner for synthetic data generation to support data access and augmentation in healthcare pp. 1-15

Thomas Callender, Anders Boyd, Robert Davis, Silas Ruhrberg Estevez, Juan M Lavista Ferres and Mihaela van der Schaar

A problem of Epic proportion pp. 1-16

Rawan Abulibdeh, Matthew G Crowson, Molly J Douglas, Mena Ramos, Noelle N Saillant and Leo Anthony Celi

Heterogeneous associations of a mobile health-based disease management program on uncontrolled hypertension: A target trial emulation study pp. 1-16

Masashi Kanai, Takahiro Miki, Takuya Toda, Yuta Hagiwara and Takaaki Ikeda

Performance of predictive AI-based clinical decision support systems across clinical domains: A systematic review and meta-analysis pp. 1-31

William J Waldock, Ahmad Guni, Ara Darzi and Hutan Ashrafian

Interpretable machine learning for predicting delays in seeking abortion among reproductive-aged women in Ethiopia: A study using EDHS 2016 data pp. 1-19

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 and Berhanu Abebaw Mekonnen

3D-ViT-UNet: 3D Vision transformer based Unet-like model for Volumetric Brain Tumor Segmentation pp. 1-27

Sikandar Afridi, Atif Jan, Muhammad Abeer Irfan, Muhammad Irfan Khattak and Taimur Ahmed Khan

Volume 5, issue 2, 2026

Optimizing vedolizumab therapy in ulcerative colitis: A critical synthesis of trial evidence and the emerging role of artificial intelligence pp. 1-8

Alfadl Abdulfattah

Topologically distinct 2D and 3D intratumoral heterogeneity scores for preoperatively predicting invasiveness in stage I lung adenocarcinoma: A multicenter study pp. 1-19

Zhichao Zuo, Xiaohong Fan, Ying Zeng, Wanyin Qi, Wen Liu, Wei Li and Qi Liang

Early individualized risk prediction using clinical data for children during the febrile phase of dengue in outpatient settings in Vietnam and Thailand pp. 1-16

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 and Ilaria Dorigatti

First-line risk stratification with machine learning models facilitates rapid triage for non-ST-elevation myocardial infarction pp. 1-16

Wei-Jia Luo, Yih-Mei Liou, Cheng-Han Hsiao, Chi-Sheng Hung, Heng-Yu Pan, Chien-Hua Huang, Pan-Chyr Yang and Kang-Yi Su

Mixed-methods assessment of engagement with a digital intervention: The Wrapped feasibility randomised controlled trial pp. 1-17

Lauren Schumacher, Kayleigh Kwah, Rebecca Gill, Rik Crutzen, Katherine Brown, Stephen Bremner, Louise J Jackson and Katie Newby

ICD coding of death certificates with generative language models pp. 1-17

Isabel Coutinho, Gonçalo M Correia, Bruno Martins, Afonso Moreira and André Peralta-Santos

SomaVR: A low-cost virtual reality platform and implementation framework for medical education in resource-limited settings pp. 1-17

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 and Daudi Jjingo

Development and validation of interpretable multimodal clinical-radiomics models for predicting epileptogenic foci and surgical outcomes in tuberous sclerosis complex: A multicenter study pp. 1-25

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 and Zhongke Wang

Interpretable depression assessment using a large language model pp. 1-18

Jae-Joong Lee, Jihoon Han and Choong-Wan Woo

AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets pp. 1-20

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 and Ahran Arnold

Using big data to search for possible geographic clustering of Congenital Heart Disease (CHD) across Australia pp. 1-11

Calum Nicholson, Geoff Strange and David S Celermajer

SHREC: A framework for advancing next-generation computational phenotyping with large language models pp. 1-13

Sarah Pungitore, Shashank Yadav, Molly Douglas, Jarrod Mosier and Vignesh Subbian

Narrowing the A1c gap: Personalized modeling of HbA1c– continuous glucose monitor discordance in type 1 diabetes pp. 1-14

Simon Lebech Cichosz, Camilla Heisel Nyholm Thomsen, David C Klonoff, Irl B Hirsch and Morten Hasselstrøm Jensen

Portability of a text mining algorithm for detecting adverse drug reactions in electronic health records across diverse patient groups in two Dutch hospitals pp. 1-14

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 and Toine C G Egberts

Sleep and smartphone use: Within and between-person relationships from an objective longitudinal smartphone and wearable data donation study pp. 1-14

Paulien Decorte, Karolien Poels, Cedric Vuye, Jonas Lembrechts, Ablenya Barros, Karolien Couscheir and Gert-Jan De Bruijn

From patient voices to policy: Data analytics reveals patterns in Ontario’s hospital feedback pp. 1-24

Pourya Momtaz, Mohammad Noaeen, Konrad Samsel, Neil Seeman, Robert Cribb, Syed Ishtiaque Ahmed, Amol Verma, Dionne M Aleman and Zahra Shakeri

Classification of knowledge of fertility period among adolescent girls in East Africa from 2012 to 2022: Machine learning algorithm pp. 1-22

Andualem Addisu Birlie, Kassahun Dessie Gashu, Mulugeta Desalegn Kasaye, Ayana Alebachew Muluneh, Abdulaziz Kebede Kassaw, Hailemariam Kassahun Desalegn, Tamir Wondim Desta and Shimels Derso Kebede

Volume 5, issue 1, 2026

Digitally delivered, systemically challenged: A qualitative study of health system readiness for digital care pp. 1-15

Laurel O’Connor, Leah Dunkel, Andrew C Weitz, Allan Walkey, Peter K Lindenauer and Apurv Soni

Remote home cardiotocography: A systematic review and meta-analysis pp. 1-26

Jack Le Vance, Adekunle Adeoye, Rebecca Man, Nashwa Eltaweel, Leo Gurney, RKatie Morris and Victoria Hodgetts Morton

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 pp. 1-19

Keerthika Sunchu, Archita P Desai, Raj Vuppalanchi and Saptarshi Purkayastha

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 pp. 1-19

Jennifer K Bertrand, Margaret L McNeely, Jack Bates, Joshua Joy, Jenil Kanani, Victor E Ezeugwu and Puneeta Tandon

Economic cost of strategic implementation approaches to increase uptake of digital therapeutics for substance use disorders in a large integrated health system pp. 1-16

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 and Joseph E Glass

Moving beyond the empty cell: The threat of decontextualized healthcare data pp. 1-9

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 and William Greig Mitchell

Hierarchy and hope: Exploring AI’s role in medicine through a thematic analysis of online discourse pp. 1-12

Johan Pushani, Sherwin Rajkumar, Alishya Burrell, Erin Peebles and Amrit Kirpalani

Development and evaluation of machine learning algorithms for the prediction of opioid-related deaths among UK patients with non-cancer pain pp. 1-20

Jose Benitez-Aurioles, Carlos Raul Ramirez Medina, David Jenkins, Niels Peek and Meghna Jani