PLOS Digital Health

2022 - 2025

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Volume 4, issue 7, 2025

Short-horizon neonatal seizure prediction using EEG-based deep learning pp. 1-16

Jonathan Kim, Edilberto Amorim, Vikram R Rao, Hannah C Glass and Danilo Bernardo

Digital health technologies for accessing contraceptive services among young people in Sub-Saharan Africa: A scoping review protocol pp. 1-11

Agnes Kyamulabi, Eva Oberle, Lotenna Olisaeloka, Innocent Kamya, Ingrid Nyesigire, Wendy V Norman and Abdul-Fatawu Abdulai

The role of artificial intelligence in maternal and child health: Progress, controversies, and future directions pp. 1-8

Audêncio Victor

Effectiveness of telerehabilitation for adults with neurological conditions in low and middle income countries: A systematic review pp. 1-22

Eric Nkansah Opoku, Lorna Paul, Derrick Antwi, Katie Thomson, Shadrack Osei Asibey, Marian C Brady, Frederike van Wijck and Fred Stephen Sarfo

An artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data pp. 1-13

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, Tu Van Hoang Minh, Khanh Phan Nguyen Quoc, Huynh Trung Trieu, Qui Tu Phan, Tho Phan Vinh, Tai Luong Thi Hue, Pantelis Georgiou, Louise Thwaites, Sophie Yacoub and on behalf of the Vietnam ICU Translational Applications Laboratory (VITAL) Investigators

Bridging the gaps in Universal Health Coverage using Digital Health Citizenship pp. 1-4

Rupal Jain and Rajarshi Dasgupta

Raising awareness of potential biases in medical machine learning: Experience from a Datathon pp. 1-10

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 and Christopher M Horvat

A comparative approach of machine learning models to predict attrition in a diabetes management program pp. 1-20

Samantha Kanny, Grisha Post, Patricia Carbajales-Dale, William Cummings, Janet Evatt and Windsor Westbrook Sherrill

Integrating equity, diversity, and inclusion throughout the lifecycle of artificial intelligence for healthcare: a scoping review pp. 1-18

Ting Wang, Elham Emami, Dana Jafarpour, Raymond Tolentino, Genevieve Gore and Samira Abbasgholizadeh Rahimi

Volume 4, issue 6, 2025

Machine learning-based equations for improved body composition estimation in Indian adults pp. 1-14

Nick Birk, Bharati Kulkarni, Santhi Bhogadi, Aastha Aggarwal, Gagandeep Kaur Walia, Vipin Gupta, Usha Rani, Hemant Mahajan, Sanjay Kinra and Poppy A C Mallinson

An evaluation of telehealth services at New York City tuberculosis clinics throughout the COVID-19 pandemic pp. 1-14

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 and Michelle Macaraig

Efficient slice anomaly detection network for 3D brain MRI Volume pp. 1-23

Zeduo Zhang and Yalda Mohsenzadeh

Logged in, not lagging behind: A purpose-oriented use of technology for youth health pp. 1-3

Matea Cañizares

Challenges in detecting and predicting adverse drug events via distributed analysis of electronic health record data from German university hospitals pp. 1-19

Anna Maria Wermund, Torsten Thalheim, André Medek, Florian Schmidt, Thomas Peschel, Alexander Strübing, Daniel Neumann, André Scherag, Markus Loeffler, Miriam Kesselmeier, Ulrich Jaehde and for the POLAR_MI Consortium

Machine learning-based hybrid risk estimation system (ERES) in cardiac surgery: Supplementary insights from the ASA score analysis pp. 1-21

Ayşe Banu Birlik, Hakan Tozan and Kevser Banu Köse

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 pp. 1-18

Serena Isley, Emily Johnson, Shaina Corrick, Ashley Hyde, Ben Vandermeer, Naomi Dolgoy, Nathanael Tabert, Edith Pituskin and Puneeta Tandon

Analysing health misinformation with advanced centrality metrics in online social networks pp. 1-18

Mkululi Sikosana, Sean Maudsley-Barton and Oluwaseun Ajao

Implementation costs and cost-effectiveness of ultraportable chest X-ray with artificial intelligence in active case finding for tuberculosis in Nigeria pp. 1-13

Tushar Garg, Stephen John, Suraj Abdulkarim, Adamu D Ahmed, Beatrice Kirubi, Md Toufiq Rahman, Emperor Ubochioma and Jacob Creswell

Racial disparities in continuous glucose monitoring-based 60-min glucose predictions among people with type 1 diabetes pp. 1-13

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 and Adam Hulman

Pharmacist-led rapid uptitration clinic in heart failure patients with reduced ejection fraction: Our experience within a virtual ward pp. 1-15

Hussein Alhakem, Angela Murphy, Liuba Fusco, Grant McQueen, Sarah Pearse, Jodian Barrett, Deirdre Linnard and Sadia Khan

Towards a dynamic model to estimate evolving risk of major bleeding after percutaneous coronary intervention pp. 1-15

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 and Bobak J Mortazavi

Augmenting electronic health record data with social and environmental determinant of health measures to understand regional factors associated with asthma exacerbations pp. 1-24

Alana Schreibman, Kimberly Lactaoen, Jaehyun Joo, Patrick K Gleeson, Gary E Weissman, Andrea J Apter, Rebecca A Hubbard and Blanca E Himes

Employing transfer learning for breast cancer detection using deep learning models pp. 1-22

Frimpong Twum, Charlyne Carol Eyram Ahiable, Stephen Opoku Oppong, Linda Banning and Kwabena Owusu-Agyemang

Volume 4, issue 5, 2025

Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review pp. 1-14

Gerko Schaap, Benjamin Butt and Christina Bode

Comparing the predictive discrimination of machine learning models for ordinal outcomes: A case study of dehydration prediction in patients with acute diarrhea pp. 1-13

Kexin Qu, Monique Gainey, Samika S Kanekar, Sabiha Nasrim, Eric J Nelson, Stephanie C Garbern, Mahmuda Monjory, Nur H Alam, Adam C Levine and Christopher H Schmid

From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities pp. 1-29

Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen and Andra V Krauze

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 pp. 1-18

Pietro Arina, Davide Ferrari, Maciej R Kaczorek, Nicholas Tetlow, Amy Dewar, Robert Stephens, Daniel Martin, Ramani Moonesinghe, Mervyn Singer, John Whittle and Evangelos B Mazomenos

Planning for successful participant recruitment and retention in trials of behavioural interventions: Feasibility randomised controlled trial of the Wrapped intervention pp. 1-20

Lauren Schumacher, Rik Crutzen, Kayleigh Kwah, Katherine Brown, Julia V Bailey, Stephen Bremner, Louise J Jackson and Katie Newby

Enhancing fairness in disease prediction by optimizing multiple domain adversarial networks pp. 1-17

Bin Li, Xiaoqian Jiang, Kai Zhang, Arif O Harmanci, Bradley Malin, Hongchang Gao, Xinghua Shi and the Alzheimer’s Disease Neuroimaging Initiative

AI-driven healthcare: Fairness in AI healthcare: A survey pp. 1-27

Sribala Vidyadhari Chinta, Zichong Wang, Avash Palikhe, Xingyu Zhang, Ayesha Kashif, Monique Antoinette Smith, Jun Liu and Wenbin Zhang

Utilizing process mining in quality management: A case study in radiation oncology pp. 1-32

Mohammad Bakhtiari

Volume 4, issue 4, 2025

Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice pp. 1-12

Ellison B Weiner, Irene Dankwa-Mullan, William A Nelson and Saeed Hassanpour

A comparative study of explainability methods for whole slide classification of lymph node metastases using vision transformers pp. 1-21

Jens Rahnfeld, Mehdi Naouar, Gabriel Kalweit, Joschka Boedecker, Estelle Dubruc and Maria Kalweit

The effect of software and hardware version on Apple Watch activity measurement: A secondary analysis of the COVFIT retrospective cohort study pp. 1-14

Shelby L Sturrock, Rahim Moineddin, Dionne Gesink, Sarah Woodruff and Daniel Fuller

GPS navigation assistance is associated with driving mobility in older drivers pp. 1-14

Sol Morrissey, Stephen Jeffs, Rachel Gillings, Mizanur Khondoker, Anuraj Varshney, Mary Fisher-Morris, Ed Manley and Michael Hornberger

Implementation and impact of mhealth in the management of diabetes mellitus in Africa: A systematic review and meta-analysis pp. 1-14

Franklin Okechukwu Dike, Jean Claude Mutabazi, Ezekiel Musa, Blessing Chinenye Ubani, Ahmed Sherif Isa, Chidiebele Malachy Ezeude, Henry Iheonye and Isah Idris Ainavi

Preclinical usability evaluation of the Liveborn app: A mobile health application that provides feedback for neonatal resuscitation pp. 1-14

Daniel Ishoso, Eric Mafuta, Kourtney Bettinger, Carl Bose, Benjamin H Chi, Ingunn Haug, Patricia Gomez, Joar Eilevstjønn, Abigail McRea, Helge Myklebust, Antoinette Tshefu and Jackie K Patterson

Combating noncommunicable diseases in a digital world: Youth shaping the future through digital citizenship for health pp. 1-3

Salman Fitrat Khan and Aditi Jhaveri

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 pp. 1-17

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 and Emmanuel Peprah

Design and implementation of digital literacy training programme: Findings of a quasi- experimental study from rural India pp. 1-16

Aparajita Gogoi, Mercy Manoranjini and Mamta Gupta

Digital technology as a tool to provide social support to individuals with cancer in low- and middle-income countries: A scoping review pp. 1-11

Hallie Dau, Fazila Kassam, Beth A Payne, Hana Miller and Gina Ogilvie

Navigating digital frontiers in UAE healthcare: A qualitative exploration of healthcare professionals’ and patients’ experiences with AI and telemedicine pp. 1-29

Azza Alkaabi and Deena Elsori

Unsupervised machine learning identifies opioid taper reversal patterns in a longitudinal cohort (2008–2018) pp. 1-13

Monika Ray, Joshua J Fenton and Patrick S Romano

Using machine learning and single nucleotide polymorphisms for improving rheumatoid arthritis risk Prediction in postmenopausal women pp. 1-13

Yingke Xu and Qing Wu

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 pp. 1-15

Ronald Moore, Daniela Chanci, Stephanie R Brown, Michael J Ripple, Natalie R Bishop, Jocelyn Grunwell and Rishikesan Kamaleswaran

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 pp. 1-15

Jamison H Burks, Leslie Joe, Karina Kanjaria, Carlos Monsivais, Kate O'laughlin and Benjamin L Smarr

Perinatal mental health care goes digital: Opportunities for digital health to revolutionize the care delivery for healthier pregnancies and outcomes pp. 1-7

Bindu Chanagala, Suneet P Chauhan, Sheehan D Fisher, Matthew Hoffman and Martin G Frasch

Byte-sized progress: Will the current economic crisis in Sri Lanka impede the advancement of digital health citizenship in the country? pp. 1-5

Udani De Silva, Mithara Fonseka and Sanduni Kotinkaduwa

Volume 4, issue 3, 2025

Evaluating fairness of machine learning prediction of prolonged wait times in Emergency Department with Interpretable eXtreme gradient boosting pp. 1-15

Hao Wang, Nethra Sambamoorthi, Nathan Hoot, David Bryant and Usha Sambamoorthi

Systemic transphobia and ongoing barriers to healthcare for transgender and nonbinary people: A historical analysis of #TransHealthFail pp. 1-28

Allison J McLaughlin, Saren Nonoyama, Lauren Glupe and Jordon D Bosse

Volume 4, issue 2, 2025

Diabetes-focused food recommender system (DFRS) to enabling digital health pp. 1-10

Esmael Ahmed, Mohammed Oumer and Medina Hassan

Digital health equity: Crafting sustainable pathways pp. 1-10

Robin Pierce

Forecasting mental states in schizophrenia using digital phenotyping data pp. 1-20

Thierry Jean, Rose Guay Hottin and Pierre Orban

An AI-based approach to predict delivery outcome based on measurable factors of pregnant mothers pp. 1-19

Michael Owusu-Adjei, James Ben Hayfron-Acquah, Twum Frimpong and Abdul-Salaam Gaddafi

Comparison of anonymization techniques regarding statistical reproducibility pp. 1-19

David Pau, Camille Bachot, Charles Monteil, Laetitia Vinet, Mathieu Boucher, Nadir Sella and Romain Jegou

Evaluating the generalisability of region-naïve machine learning algorithms for the identification of epilepsy in low-resource settings pp. 1-17

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 and Gabriel Davis Jones

Volume 4, issue 1, 2025

Post-concussion symptom burden and dynamics: Insights from a digital health intervention and machine learning pp. 1-15

Rebecca Blundell, Christine d’Offay, Charles Hand, Daniel Tadmor, Alan Carson, David Gillespie, Matthew Reed and Aimun A B Jamjoom

Synthetic data as external control arms in scarce single-arm clinical trials pp. 1-13

Severin Elvatun, Daan Knoors, Simon Brant, Christian Jonasson and Jan F Nygård

Quality of life disparities among Mexican people with systemic lupus erythematosus pp. 1-14

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 and Alejandra Medina-Rivera

Performance evaluation and comparative analysis of different machine learning algorithms in predicting postnatal care utilization: Evidence from the ethiopian demographic and health survey 2016 pp. 1-25

Daniel Niguse Mamo, Agmasie Damtew Walle, Eden Ketema Woldekidan, Jibril Bashir Adem, Yosef Haile Gebremariam, Meron Asmamaw Alemayehu, Ermias Bekele Enyew and Shimels Derso Kebede

Comparing imputation approaches to handle systematically missing inputs in risk calculators pp. 1-26

Anja Mühlemann, Philip Stange, Antoine Faul, Serena Lozza-Fiacco, Rowan Iskandar, Manuela Moraru, Susanne Theis, Petra Stute, Ben D Spycher and David Ginsbourger

A data management system for precision medicine pp. 1-21

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 and Steven van Dijk

A scoping review of the electronic collection and capture of patient reported outcome measures for children and young people in the hospital setting pp. 1-21

Anne Alarilla, Neil J Sebire, Josh Keith, Mario Cortina-Borja, Jo Wray and Gwyneth Davies

Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithms pp. 1-22

Jo-Wai Douglas Wang

Epidemiological methods in transition: Minimizing biases in classical and digital approaches pp. 1-18

Sara Mesquita, Lília Perfeito, Daniela Paolotti and Joana Gonçalves-Sá