Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health

Evaluation of the Accuracy of Probabilistic Record Linkage Across Sociodemographic Categories in 4 Databases: Exploratory Study

Cristina Barboi, Fangqian Ouyang, Lauren Lembcke, Andrew Martin, Ashley Griffith, Katie S Allen, Xiaochun Li, Huiping Xu, Shaun J Grannis

JMIR Form Res 2026 (Feb 26); 10:e78622

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Leveraging AI to Advance Age-Friendly Care in the Veterans Health Administration

Elizabeth Fine Smilovich, Megha Kalsy, Kimberly Wozneak, Quratulain Syed, Laurence M Solberg

JMIR Aging 2026 (Feb 23); 9:e75686

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Cardiorespiratory Markers of Type 2 Diabetes: Machine Learning–Based Analysis

Flavia Maria G S A Oliveira, Sandro Muniz Cavalcanti, Michael C K Khoo

JMIR Diabetes 2026 (Feb 23); 11:e82084

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Examining Artificial Intelligence Chatbots’ Responses in Providing Human Papillomavirus Vaccine Information for Young Adults: Qualitative Content Analysis

Alfu Laily, Laura M Schwab-Reese, Megan Davish, Emily Cahue, Kathryn J LaRoche, Natalia M Rodriguez, Robert J Duncan, Randolph D Hubach, Monica L Kasting

JMIR Public Health Surveill 2026 (Feb 18); 12:e79720

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Research on the Prediction of Coal Workers’ Pneumoconiosis Based on Easily Detectable Clinical Data: Machine Learning Model Development and Validation Study

Haiquan Li, Jiaqi Jia, Xu Shi, Yudie Dong, Songquan Wang, Yuming Cui, Wenlu Hang, Dekun Zhang

JMIR Med Inform 2026 (Feb 13); 14:e80156

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Fairness Correction in COVID-19 Predictive Models Using Demographic Optimization: Algorithm Development and Validation Study

Naman Awasthi, Saad Abrar, Daniel Smolyak, Vanessa Frias-Martinez

Online J Public Health Inform 2026 (Feb 03); 18:e78235

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