Machine Learning

Articles published in this theme: 2252 (scroll down to load remaining articles)

2026

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Transfer Learning and Machine Learning for Training Five-Year Survival Prognostic Models in Early Breast Cancer: Development and Validation Study

Lisa Pilgram, Kai Yang, Ana-Alicia Beltran-Bless, Gregory R Pond, Lisa Vandermeer, John Hilton, Marie-France Savard, Andreanne LeBlanc, Lois Shepherd, Bingshu Chen, John MS Bartlett, Karen J Taylor, Jane Bayani, Sarah Barker, Melanie Spears, Cornelis JH van der Velde, Elma Meershoek-Klein Kranenbarg, Luc Dirix, Elizabeth Mallon, Annette Hasenburg, Christos Markopoulos, Lamin Juwara, Fida K Dankar, Mark Clemons, Khaled El Emam

J Med Internet Res 2026 (Apr 14); 28:e88665

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The AudioGene Translational Dashboard for Diagnosing Autosomal Dominant Nonsyndromic Hearing Loss: Phenotypic Data Visualization and Analysis Study

Benjamin DeSollar, Nathan Schaefer, Daniel Walls, Amanda M Odell, Kevin T A Booth, Hela Azaiez, Michael Schnieders, Richard J H Smith, Terry Braun, Thomas Casavant

JMIR Bioinform Biotech 2026 (Apr 14); 7:e85212

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Using Machine Learning to Improve Screening for Oropharyngeal Dysphagia in Hospitalized Versus Primary Care Adult Patients With COVID-19 Disease: Retrospective Observational Study

Cristina Amadó Ruiz, Alberto Martín, Jaume Miró Ramos, Francisco Javier Ruz Torres, Antonio Ruiz, Adil El Haji, Pere Clavé, Omar Ortega

JMIR AI 2026 (Apr 13); 5:e81028

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Integrating Gait Analysis and AI Into Knee Osteoarthritis Care: Protocol for a 3-Phase Participatory Qualitative Study

Owen Ryan Lindsay, Janie L Astephen Wilson

JMIR Res Protoc 2026 (Apr 13); 15:e82860

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Web-Based Personalized Machine Learning Recommendations to Enhance Shared Decision-Making in Prostate-Specific Antigen Screening: Randomized Controlled Trial

Yi-Ting Lin, Yen Chun Huang, Chih Kuang Liu, Hsiao-Yun Cho, Mingchih Chen

JMIR Aging 2026 (Apr 13); 9:e83238

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Enhancing Model Generalizability in Medical Artificial Intelligence: Systematic Comparison of Categorical Encoding and Sampling Techniques for Imbalanced Data

Chien-wei Chuang, Chung-Kuan Wu, Chao-Hsin Wu, Ben-Chang Shia, Mingchih Chen

JMIR Med Inform 2026 (Apr 13); 14:e75655

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Analysis of Machine Learning–Based Investigation Into Multivariate Factors of Team Performance in Serious Games: Cross-Sectional Retrospective Study

Gruyff Germain Abdul-Rahman, Freark de Lange, Andrej Zwitter, Noman Haleem

JMIR Serious Games 2026 (Apr 13); 14:e83478

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Responsible AI for Predicting Delayed Hospital Discharge Among Older Adults: Development and Evaluation Study for Balancing Accuracy, Equity, and Explainability

Somayeh Ghazalbash, Manaf Zargoush, Sara JT Guilcher, Kerry Kuluski

JMIR Med Inform 2026 (Apr 13); 14:e83244

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Views of People With Psychosis About Algorithm-Based Relapse Prediction and Data Sharing: Qualitative Study

Emily Eisner, Hannah Ball, John Ainsworth, Matteo Cella, Richard J Drake, Daniel Elton, Sophie Faulkner, Kathryn Greenwood, Andrew Gumley, Gillian Haddock, Kimberley M Kendall, Alex Kenny, Tor-Ivar Krogsæter, Jane Lees, Shôn Lewis, Alie Phiri, Matthias Schwannauer, Rebecca Turner, Annabel E L Walsh, James Walters, Til Wykes, Uzma Zahid, Sandra Bucci

J Med Internet Res 2026 (Apr 10); 28:e86753

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Code-Based Versus AutoML Methods for Pill Recognition in Clinical Settings: Comparative Performance Study

Amir Reza Ashraf, Richárd Rádli, Zsolt Vörösházi, András Fittler

JMIR Med Inform 2026 (Apr 10); 14:e79160

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Evaluating Public Sentiment on Attention-Deficit/Hyperactivity Disorder and Autism Spectrum Disorder Compared With Other Mental Health Disorders From Posts on X (Formerly Known as Twitter): Longitudinal Analysis

Vitor Tiosso Batistetti, Facundo G Sanchez, Andrea Varaona, Francisco Lara-Abelenda, Mariana Pinto da Costa, Juan Pablo Chart-Pascual, Alberto Rodriguez-Quiroga, Javier Quintero, Miguel Angel Alvarez-Mon

JMIR Infodemiology 2026 (Apr 09); 6:e74440

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Comparative Performance of 3 Analytical Models in Identifying Associated Factors of Pulmonary Dysfunction–Depression Comorbidity: China Health and Retirement Longitudinal Study–Based Nationwide Cross-Sectional Study

Qinglin Cheng, Qiancheng Cao, Weilin Teng, Ruoqi Dai, Qingjun Jia, Xuexin Bai, Qingchun Li, Yifei Wu, Yinyan Huang

JMIR Med Inform 2026 (Apr 09); 14:e77940

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Machine Learning in Predicting the Risk of Esophagogastric Variceal Bleeding Among Patients With Liver Cirrhosis: Systematic Review and Meta-Analysis

Yuan Lian, Xinping Qiu, Geli Wang, Nannan Liu, Jing Zhao, Shanshan Song, Shiqi Wang, Mingjun Sun

J Med Internet Res 2026 (Apr 08); 28:e78203

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Personalized Predictive Model to Predict Subtask Success of Medication Adherence Technologies for Older Adults With Diverse Capabilities: Development and Internal Validation Study

Bincy Baby, Ghada Elba, Minzee Kim, SooMin Park, Imra Hudani, Rishabh Sharma, Halak Patel, Sidharth Bajaj, P K Patterson, Annette McKinnon, Sara J T Guilcher, Feng Chang, Linda Lee, Catherine Burns, Ryan Griffin, Joslin Goh, Tejal Patel

JMIR Aging 2026 (Apr 08); 9:e84616

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Automatic Recognition and Prognostic Prediction of Colorectal Liver Metastases Using a Multi-Scale Deep Learning Framework: Model Development and Validation Study

Houwen Long, Feng Ying, Shi Wu, Long Li

JMIR Med Inform 2026 (Apr 07); 14:e73311

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Electrocardiogram-Based Mental Stress Detection Amid Everyday Activities Using Machine Learning: Model Development and Validation Study

Buelent Uendes, Alex Antonides, Sjors van de Ven, Denise Johanna van der Mee, Eco de Geus, Mark Hoogendoorn

J Med Internet Res 2026 (Apr 07); 28:e80450

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Deep Learning for Content-Based Medical Image Retrieval in Picture Archiving and Communication Systems for Brain Tumor Detection: Algorithm Development and Validation

Chin-Lin Lee, Tzu-Hsuan Hsu, Yu-Te Wu, Wan-Yuo Guo, Woei-Chyn Chu, Chung-Yueh Lien

JMIR Med Inform 2026 (Apr 06); 14:e78300

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Artificial Intelligence, Connected Care, and Enabling Digital Health Technologies in Rare Diseases With a Focus on Lysosomal Storage Disorders: Scoping Review

Alberta MC Spreafico, Luca Neri, Kim Angel, Cinzia Maria Bellettato, Maurizio Scarpa

J Med Internet Res 2026 (Apr 02); 28:e73612

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Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis

Yujie Chen, Zhujing Ou, Yiting Deng, Anling Luo, Xuzi Li, Yujia Yang, Qin Yang, Xintong Wu, Muke Zhou

J Med Internet Res 2026 (Apr 02); 28:e83821

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Accuracy of Radiomics-Based Machine Learning for Predicting Risk of Recurrence in Non–Small Cell Lung Cancer: Systematic Review and Meta-Analysis

Junpei Wu, Ye Zhang, Jiaye Wang, Chengshui Chen, Shiyu Hu, Wenyu Chen

J Med Internet Res 2026 (Apr 02); 28:e84223

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