PLOS Digital Health
2022 - 2026
From Public Library of Science Bibliographic data for series maintained by digitalhealth (). Access Statistics for this journal.
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Volume 5, issue 10, 2026
- When the algorithm passes the test but fails the patient pp. 1-4

- Alex Mirugwe
- The world’s oldest living culture leads the way with interpretable generative AI: Aboriginal women shaping the future of perinatal mental health services pp. 1-23

- Guanjin Wang, Hachem Bennamoun, Wai Hang Kwok, Rehan Raza, Ferdous Sohel, Bridgette Kelly, Trish Ratajczak, Corinne Reid, Rhonda Marriott, Roz Walker, Jayne Kotz and Tracy Reibel
- Impacts of digital third-wave interventions for adults on wellbeing and mental health outcomes: A systematic review and meta-analysis of randomized controlled trials pp. 1-23

- Tom C Gordon, Andrew H Kemp, Josh Hope-Bell and Darren J Edwards
- Demographic subgroup-aware analysis of blood pressure predictive models pp. 1-18

- Blessing Kolawole, Sinuo Fan, Yingjie Lao and Valencia J Koomson
- A machine learning model for in-hospital mortality prediction in patients with sepsis-related myocardial injury pp. 1-21

- Da-cheng Wang, Yan-pin Liu, Yu-ting Wang, Xiao-huan Zhuang, Xiao-peng Yin, Xin-yuan Zhang and Yan Zhuang
- STREAM: A data-driven framework for physiological state monitoring in ICU patients pp. 1-22

- Ali Namvar, Sundaresh Ram, Wassim W Labaki, Stefanie Galban, Njira L Lugogo and Craig J Galban
- Recommendations for the analysis of leading indicators in epidemic surveillance pp. 1-22

- Jonathon Mellor, Maria Tang, Robert S Paton and Thomas Ward
- Co-developing Georgia’s National Digital Health Strategy through a multistakeholder convergence workshop: An implementation case study from the WHO European Region pp. 1-28

- Nato Gzirishili, Mehar Grover, Resham Sethi, Mariam Beridze, Tomas Roubal, Lela Sulaberidze, Karapet Davtyan, Silviu Domente and Karthik Adapa
- Toward predictive prosthetic socket modeling: Preliminary linear regression models of transradial limb–socket geometry pp. 1-19

- Vishal Pendse, Nader Allam, Calvin C Ngan, Elaine Lorette, Isabelle Morin-Girard and Jan Andrysek
- Evaluating an LLM-assisted workflow for clinical documentation: A pilot randomized controlled trial on time and quality pp. 1-17

- Tomohiro Takayama, Keina Sado, Kenji Suda, Hiroshi Tamura, Naoko Ueda-Arakawa, Kenji Ishihara, Yuta Ueda, Kazuya Okamoto, Luciano Henrique de Oliveira Santos, Tetsuro Oshika, Tomohiro Kuroda, Akitaka Tsujikawa and Masahiro Miyake
- Regulating the drafting fiction: A qualitative content analysis of official guidance and regulator documents on AI scribe adoption and use in healthcare pp. 1-24

- Samuel Oluwatobi Atiku
- Changes in the acceptance of artificial intelligence in medicine among physicians and the general public in Japan: A repeated cross-sectional comparison of 2018 and 2025 pp. 1-14

- Teppei Suzuki, Honoka Tamori, Kazuki Ohashi, Yasuhiro Morii, Kenji Hirata, Kohsuke Kudo and Katsuhiko Ogasawara
- Transparency, accountability, and scholarly integrity: A systematic narrative review of artificial intelligence governance frameworks in healthcare publication pp. 1-14

- Amina Silva, Bruna Canever, Monica Lino and Vanessa Silva e Silva
- Refocusing algorithmic fairness on feature-level bias: A diagnostic approach using dutch EHR data pp. 1-20

- Cathleen S Parsons, Shelley-Ann M Girwar, Sepinoud Azimi, Marco R Spruit and Marcel R Haas
- Contribution of artificial intelligence research to the development of inclusive applications for people with disabilities: A scoping review (2015–2025) pp. 1-20

- Soutongnoma Safiata Kaboré, Azadeh Bayani, Léandre Parfait Epoh Ewane, Davllyn Santos Oliveira dos Anjos, Jean Noel Nikiéma and Muriel Mac-Seing
Volume 5, issue 9, 2026
- Comparative predictive modeling of pediatric spirometry reference equations in Jordanian children: Complex versus simple models pp. 1-22

- Walid Al-Qerem, Anan Jarab, Judith Eberhardt, Khalda Smairan, Yousef Mimi and Maher Khdour
- Data distribution impacts the performance and generalisability of contrastive learning-based foundation models of electrocardiograms pp. 1-21

- Gul Rukh Khattak, Konstantinos Patlatzoglou, Joseph Barker, Libor Pastika, Boroumand Zeidaabadi, Aidan R Birdi, Jiayu Huo, Ahmed El-Medany, Hesham Aggour, Yixiu Liang, Antonio H Ribeiro, Jeffrey Annis, Antonio Luiz Pinho Ribeiro, Junbo Ge, Daniel B Kramer, Jonathan W Waks, Evan Brittain, Nicholas Peters, Fu Siong Ng and Arunashis Sau
- Tailoring in eHealth lifestyle interventions targeting people with cardiometabolic conditions and lower socioeconomic position: A scoping review pp. 1-31

- Sandra Van Mellaert, Martha S Kreuzberg, Iris ten Klooster, Bert-Jan F van Beijnum, Jan N van Rijn and Monique Tabak
- Independent evaluation of machine learning and deep learning models for breast cancer detection pp. 1-23

- Deepthi, Ashalatha Nayak and Rani Oomman Panicker
- Implementation of an opioid use disorder (OUD) machine-learning phenotype in real-time for the ADAPT clinical trial pp. 1-18

- Huan Li, Mark Iscoe, John Lutz, Carolina Diniz Hopper, Sabrina Fried, Josue Minaya, Caroline Raymond King, Olga Reykhart, Hyung Paek, Daniella Meeker, Edward R Melnick and R Andrew Taylor
- Augmenting patient safety surveillance in radiation oncology with large language model-based root cause analysis: A proof-of-concept study pp. 1-18

- Yuntao Wang, Mariluz De Ornelas, Matthew T Studenski, Elizabeth Bossart, Siamak P Nejad-Davarani and Yunze Yang
- Early malaria risk screening in Nigerian minors using AutoML and cluster-based analysis of non-clinical survey data pp. 1-33

- Ashiqur Rahman Khan, Nafisa Mahbub, Ridwan Al Aziz, Mahamudul Hassan Siddique and Zahidul Islam Sayeem
- The economics of accuracy for medical reasoning with large language models pp. 1-35

- Kiran Bhattacharyya and Sreeram Kamabattula
- Socioeconomic determinants of malaria in Ugandan children: An interpretable machine learning approach for public health policy pp. 1-14

- Cleiane Gonçalves Oliveira, Marcos Flávio S V D’Angelo, Matheus P Libório, Marcelo Perim Baldo and Hasheem Mannan
- A feasibility study evaluating seismocardiography for the detection of heart failure pp. 1-14

- Ahmad Agam, Emil Korsgaard, Troels Yding Haugstrup, Kasper Janus Grønn Emerek, Maria Weinkouff Pedersen, Massar Omar, Jacob Eifer Møller, Kristian Kragholm, Samuel Emil Schmidt and Peter Søgaard
- Utilization of a HIPAA-compliant large language model chatbot in an academic pediatric medical center pp. 1-10

- Benjamin Rader, Dinesh K Rai, Melissa L Stewart, Sarah Lejfer, Sampath Chennuri, James Hartwell, Victor Moyano, Max H Witwer, Peter C Laussen, Heather L Nelson and John S Brownstein
- Deep learning for blood glucose prediction: Reproducibility challenges and factors affecting differential performance pp. 1-19

- Baiying Lu, Biratal Wagle, Zhaohui Liang, Yanjun Cui and Temiloluwa Prioleau
- Impact of mobile health interventions for mental health literacy: A systematic review and meta-analysis of randomized controlled trials pp. 1-19

- Jamin Patel, Sheriff Ibrahim and Tarun Reddy Katapally
- Development and external evaluation of an interpretable machine-learning model for early prediction of organ failure in higher-risk acute pancreatitis patients: A multicentre cohort study pp. 1-19

- Di Wu, Wenhao Cai, Chunmei Chen, Minting Chen, Yang Lv, Yilin Huang, Anthony Evans, Juan Lin, Diane Latawiec, Arjun Kattakayam, Rajarshi Mukherjee, Wei Huang, Qing Xia, Jie Xiao, Chunqiu Su, Jie Peng, Kuirong Jiang and Robert Sutton
- Explainable machine learning for breast cancer prediction in resource-constrained settings: A multi-algorithmic framework integrating shap-based transparency with clinical decision support pp. 1-17

- Oluwaseun Adebayo Bamodu, Sumaiya Nezam and Chen-Chih Chung
Volume 5, issue 8, 2026
- Effectiveness of nonclinic-based dual-task training on physical and cognitive functions and activities of daily living in older adults with cognitive decline: A systematic review and meta-analysis pp. 1-25

- Jeerati Rattanatreyanupab, Htet Htet Hnin, Theerapol Witthiwej, Vimonwan Hiengkaew, Pagamas Piriyaprasarth, Yasutaka Nikaido, Ammarin Thakkinstian, Kunlawat Thadanipon, Saharat Liampeng and Sunee Bovonsunthonchai
- Prediction tools to prioritise hospitalised adult patients at risk of drug related problems: An umbrella review pp. 1-25

- Daria S Gutteridge, Dona Babu, Jacquelina Stasinopoulos, Annabel Calder, Michael Bakker, Sally Marotti, Bronwin Patrickson, Karen Macolino, Craig Martin, Lijun Zhao, Niranjan Bidargaddi and Janet K Sluggett
- To learn or not to learn? Model-based estimation of motor learning in a large, “in the wild”, home rehabilitation database pp. 1-22

- Yan Wen, Dongze Ye, Rukshana Poudel, Dan Zondervan, David Reinkensmeyer and Nicolas Schweighofer
- HEART-Watch: A multimodal physiological dataset from a Google Pixel Watch across different physical states pp. 1-22

- Jathushan Kaetheeswaran, Boyi Ma, Ali Abedi, Shehroz S Khan and Milad Lankarany
- AI alignment in medical imaging: Unveiling hidden biases through counterfactual analysis pp. 1-21

- Haroui Ma, Francesco Quinzan, Theresa Willem and Stefan Bauer
- AI-driven dual-task prediction model for co-stratifying efficacy and toxicity in NSCLC immunotherapy pp. 1-20

- Hanlin Ding, Yuting Ren, Siqi Ding, Yuzhong Chen, Yuemin Wu, Yipeng Feng, Wenjie Xia, Xuming Song, Rutao Li, Qixing Mao, Bing Chen, Hui Wang, Bin Zhu, Anpeng Wang, Lin Xu, Yan Qiang, Gaochao Dong and Feng Jiang
- Assessing the informative value of macroeconomic indicators for public health forecasting pp. 1-20

- Shome Chakraborty, Fardil Khan and Soutik Ghosal
- Clinical predictive artificial intelligence evaluation: A narrative review of trial designs and practical considerations pp. 1-20

- Maxime Fosset, Joris Pensier, Boris Jung, Arjumand Siddiqi, Muhammad Mamdani and Leo Anthony Celi
- Expiratory time constant patterns reveal obstructive lung mechanics in non-obstructive spirometry pp. 1-17

- Filip Depta, Surya P Bhatt, Manuel Heinz, Radek Černý, Vladimír Koblížek and Pavol Pobeha
- Knowledge graph-guided multiple sclerosis identification and therapeutic trend analysis: Real-world evidence from two large healthcare systems pp. 1-15

- Ziming Gan, Wen Zhu, Weijing Tang, Sara Morini Sweet, Michele Morris, Yunqing Han, Chenyi Chen, Junwei Lu, Emily Song, Mohammed Moro, Shyam Visweswaran, Tianrun Cai, Tanuja Chitnis, Tianxi Cai and Zongqi Xia
- ITHindex: An integrated web-based platform for intratumor heterogeneity evaluation pp. 1-15

- Yutao Liu, Yuan Jiang, Wenchuan Xie, Feidie Duan, Shuiting Fu, Jing Zhao, Jinyu Yang, Jianchun Duan, Guoqiang Wang, Yuzi Zhang, Shangli Cai and Yongqin Wen
- Social factors associated with the development of e-health literacy: A mixed-methods study among patient organization members and representatives pp. 1-18

- Lea Wiedemann, Jan Hinrichsen, Jonas Lander, Simon Wallraf, Marie-Luise Dierks, Henk Jasper van Gils-Schmidt and Sabine Wöhlke
- CAMI-DM: Development and validation of a multi-algorithm model for in-hospital mortality risk prediction in diabetic patients with acute myocardial infarction — The China acute myocardial infarction registry pp. 1-23

- Zuoxiang Wang, Zheng Yin, Junxing Lv, Sheng Zhao, Zhengqing Ba, Jingang Yang, Haiyan Xu, Xiaojin Gao, Yongjian Wu and Yuejin Yang
- Machine learning-based quantitative structure–activity relationship model for antibiotic prediction and discovery pp. 1-16

- Jiratchaya Nakbang, Chonthicha Arbsuwan, Santitham Prom-on and Peerut Chienwichai
- Inclusive mobile brain-body imaging achieves equivalent EEG data quality across racial groups pp. 1-16

- Sodiq Fakorede, Ke Liao, KathleenMae Rogers, Kai Cheng, Lydia Pemberton, Laura E Martin and Hannes Devos
- A natural language processing approach to determine whether streamlined health technology assessment for multi-indication medicines is feasible pp. 1-16

- Isaiah Luc, Drew Carter, Erik Bergman, Gabriel Westman and Tracy Merlin
Volume 5, issue 7, 2026
- User engagement in the tuberculosis treatment support tools intervention and its impact on treatment outcomes: A secondary analysis of a pragmatic trial pp. 1-16

- Sarah J Iribarren, Jason Rupp, Jennifer Sprecher, Barry Lutz and Fernando Rubinstein
- Artificial intelligence–based chatbots to enhance medication adherence among patients with non-communicable chronic diseases: Systematic review and meta-analysis pp. 1-16

- Siyu Chen, Yuan Fang, Liwen Ding, Phoenix K H Mo and Zixin Wang
- An exploratory mixed-methods assessment of private health sector readiness for reporting through the Ministry of Health and Child Care Health Information System in Zimbabwe pp. 1-16

- Memory Chimsimbe, Tariro C Mando, Munyaradzi Murwira, Juliet G Nyamasve, Eliud Wekesa, Anne Njeri, Patron Mafaune, Jennifer Harris Requejo, Manes Munyanyi, Winston Chirombe, Simukai T Zizhou, Oona Campell and Richard Makurumidze
- Beyond technology usefulness: Health system reliability, and socio-demographic and professional factors as shapers of technostress in physicians pp. 1-24

- Pilar Ficapal-Cusí, Joan Torrent-Sellens and Oriol Yuguero Torres
- Time-series prediction of adverse birth outcomes in the U.S. using multilayer perceptron neural networks pp. 1-17

- Bayuh Asmamaw Hailu
- Identifying dissemination strategies for promoting adoption of digital health interventions in clinical settings: A convergent parallel study on text message support for HIV pre-exposure prophylaxis (PrEP) adherence pp. 1-19

- Erik M S Ocean, Sonal D Sharma and Tyler B Wray
- Multi-scenario evaluation of federated learning for privacy-preserving malaria prediction with Ghana DHS data pp. 1-19

- Daniel Kwasi Kovor and Eric Opoku Osei
- Internet use for pregnancy-related information and its correlates among women attending antenatal care in Mogadishu, Somalia pp. 1-19

- Mohamed Mustaf Ahmed, Luul Mohamed Ibrahim, Roodo Abdullahi Elmi, Zhinya Kawa Othman, Francesco Branda, Olalekan John Okesanya, Uthman Okikiola Adebayo, Shuaibu Saidu Musa, Abdullahi Hassan Elmi, Abdirasak Sharif Ali and Don Eliseo Lucero-Prisno
- Design and development of a disease-agnostic remote patient monitoring typology and associated tools pp. 1-15

- Ibukun-Oluwa Omolade Abejirinde, Vanessa Kishimoto, Janette Brual, Kaylen J Pfisterer, Nishath Uddin, Taylor Pratt, Cathleen Fleury, Azza Osman and Onil Bhattacharyya
- Quantitative analysis of handwriting kinematics in primary and lower secondary school children through a sensorized ink pen: A cross-sectional population-based study pp. 1-26

- Simone Toffoli, Linda Greta Dui, Stefania Fontolan, Francesca Lunardini, Milad Malavolti, Chiara Piazzalunga, Alice Donati, Cesare Cornoldi, Cristiano Termine and Simona Ferrante
- Digital phenotyping of CGM engagement reveals distinct glycemic outcomes pp. 1-20

- Bowen Zhang, Tomoki Okuno, Emma Li, Ethan Riggins, Evie L Shen, Joleen Vansomphone, Estelle M Everett, Gregory J Norman, Donald R Miller, Peter D Reaven, Hua Zhou and Jin J Zhou
- Large language models as versatile predictive engines for notifiable infectious diseases pp. 1-20

- Xinsheng Wu, Jinyuan Wu, Zhongwen Wang, Xinyue Feng, Ye Yao, Jason J Ong and Huachun Zou
- Toward universal representations of the living: Physiological invariance for transportable medical AI pp. 1-27

- Alexandre Vallée
- Doctors vs. Algorithms: Physicians, too, struggle to learn from evidence that contradicts AI suggestions pp. 1-14

- Aranzazu Vinas, Fernando Blanco and Helena Matute
- MERWACS: Development and external validation of a non-invasive machine learning tool for identifying subjects to be screened for CKD pp. 1-25

- Daniel Yoo, Vy Kim Nguyen, Umberto Maggiore and Olivier Jolliet
- On the road to fully automated insulin delivery: A systematic review of meal announcement free algorithms pp. 1-29

- Muhammad Ibrahim, Aleix Beneyto, Ivan Contreras and Josep Vehi
- Large language models enable prognostic stratification of cancer patients using real-world clinical notes pp. 1-18

- Niklas Kiermeyer, Tim Lenfers, Amin Dada, Julian Friedrich, Sameh Khattab, Eric Knop, Jan Egger, Markus Pauly, Andreas Jung, Grégoire Montavon, Jens T Siveke, Marcel Wiesweg, Stefan Kasper, Ulf P Neumann, Frederick Klauschen, Sylvia Hartmann, Martin Schuler, Philipp Keyl, Jens Kleesiek and Julius Keyl
- Health equity and public acceptance of large language models in healthcare in China: A national population-based survey pp. 1-18

- Jiaying Li, Helen Yue Lai Chan, Zengjie Ye, Xiang Qi, Wai Tong Chien and Ka Ming Chow
- Evaluating the quality of tabular synthetic data in health care pp. 1-23

- Ivana Nanevski, Maryam Mohebi, Sebastian Jäger, Karen Otte, Fabian Prasser, Matthias Schulte-Althoff, Daniel Fürstenau and Felix Biessmann
- Healthcare unplugged: Disparities in broadband internet and health facility access among US counties pp. 1-11

- Khushi Kohli, Stephanie Wang, Cody Chou, Bhav Jain, Kavya M Shah, Mahi Kohli, Edward C Dee and Sandeep Palakodeti
- Adaptive multimodal fusion via Gated Parallel Mamba architecture for ultra-high-precision stroke lesion segmentation in medical imaging pp. 1-22

- Runnan He, Leshui Dong, Shuang Xia, Chen Cao, Youwei Wang, Meijun Pang, Kuo Zhang, Xiuyun Liu, Dong Ming and Mark Haacke
- Development, internal and external evaluation of an artificial intelligence algorithm for child growth monitoring in primary care pp. 1-22

- Pauline Scherdel, Raphaële Houlbracq, Emmanuel Lecoeur, Juliane Léger, Raja Brauner, Jérémie F Cohen, V Study Group Ebgm, Martin Chalumeau and Barbara Heude
- Modeling predictors of incomplete antenatal care utilization among reproductive-age women in Ethiopia using machine learning algorithms and SHAP interpretation pp. 1-1

- Jibril Bashir Adem, Anas Ali Alhur, Abdene Weya Kaso, Meron Asmamaw Alemayehu, Shimels Derso Kebede, Agmasie Damtew Walle, Daniel Niguse Mamo and Ermias Bekele Enyew
- A digital marker for stratifying cardiovascular metabolic comorbidities among the middle-aged and elderly adults pp. 1-1

- Danhui Mao, Sheng Zhao and Jiao Lu
- Test-fairness deep learning with influence score pp. 1-21

- Jacky Chung-Hao Wu, Chang-Yu Shih, Nien-Chen Wu, Wei-Wen Chen, Henry Horng-Shing Lu and Shaw-Hwa Lo
Volume 5, issue 6, 2026
- A global analysis of national cardiovascular disease control plans using a multi-agent artificial intelligence model pp. 1-100

- Hugh Pearson, Caleb J Kumar, Che L Reddy, Estella Rose LeBlanc, Rifat Atun and With the CVD Control Collaborative
- Digital innovations and health information systems: Lessons learned from implementing ALMANACH in Nigeria pp. 1-18

- Andrea Bernasconi, Daniel Ishaya, Ibrahim Sahabo, Muazu Muazu and Marianne van der Sande
- A scoping review of barriers and facilitators to implementing tele-mental health solutions for rural, remote and underserved populations in low- and middle-income countries pp. 1-23

- Sandra Jumbe, Aysha Groen, Lisa Ballard, Alexander Torbuck, Deniz Naghibi, Sophie Leijdesdorff, Jose G Perez-Ramos, David Lim, Virender Sorout, Dingaane Msowoya, Winnie W S Mak, Rodrigo Ramalho and Bessie Malila
- Who gets included? Equity in digital and decentralised mental health and neurodevelopmental trials: A systematic review pp. 1-24

- Sophie S Hall, Charlotte L Hall, Christopher Partlett, Alexia Jeayes, Nikita Rattu, Helen Henshaw, Jennifer Martin and Emily Shoesmith
- A fairness framework for natural language processing in substance use disorders and overdose pp. 1-4

- David T Zhu, Suhanee Mitragotri and Suzanne Tamang
- A digital twin approach for simultaneous reconstruction of brain anatomy and dynamics from neural data pp. 1-26

- Michelangelo Fabbrizzi, Lorenzo Gaetano Amato, Leonardo Martinelli, Jacopo Carpaneto, Emanuele Bartolini, Sara Calderoni, Alessandra Retico, Alberto Arturo Vergani and Alberto Mazzoni
Volume 5, issue 5, 2026
- 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
- Video-based detection of Delirium in hospitalized adults pp. 1-18

- Maanasa Mendu, Ryan A Tesh, Kyle Pellerin, Grace E Steward, Ivo H Cerda, Marta Williams, Mia Colman, Simran Shah, Alice D Lam, Sydney S Cash, M Brandon Westover and Eyal Y Kimchi
- What can shopping transactional data reveal about relative prevalence of menstrual pain and period poverty in England? pp. 1-16

- Victoria Sivill, Vanja Ljevar, James Goulding and Anya Skatova
- Multidimensional evaluation of large language models on the AAP in-service examination: Assessing accuracy, calibration, and citation reliability pp. 1-19

- Prita Abhay Dhaimade and Robin Henderson
- Dengue hospitalizations in Brazil: Forecasting with climatic and physicians’ digital search data under real-world reporting delays pp. 1-19

- Dayanna Quintanilha Palmer, Marcela Motta, Eduardo Moura, Danielly Xavier, Guilherme Schittine, Angélica Caseri and Ronaldo Gismondi
- 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
- Moving beyond the benchmarks: Five foundational principles for meaningful AI evaluation in healthcare pp. 1-13

- Catherine G Bielick, Aya Awwad, Jacob Ellen, Laleh Jalilian, Liam G McCoy, Vishala Mishra, Esli Osmanlliu, Stephen R Pfohl and Leo A Celi
- 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
- 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
Volume 5, issue 4, 2026
- Sharing digital health data responsibly: Balancing open science with participant privacy pp. 1-5

- Camille Nebeker, Shahin Samiei and Santosh Kumar
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Volume 5, issue 3, 2026
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
Volume 5, issue 2, 2026
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Interpretable depression assessment using a large language model pp. 1-18

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