Machine Learning

Causal Discovery in Observational Medical Research: Scoping Review

Zuting Liu, Tian Luo, Hailin Ma, Jiali Mo, Xia Yang, Zhenglong Huang, Jingkun Li, Jie Kuang

JMIR Med Inform 2026 (Mar 13); 14:e82499

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CT Radiomics–Based Machine Learning Model for Predicting Capsular and Neural Invasion in Thyroid Carcinoma: Diagnostic Accuracy Study

Fang-fang Cong, Ke Tian, Qian Gao, Fulin Wang, Peng Sun, Nan Xu

JMIR Med Inform 2026 (Mar 12); 14:e77349

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Complete Blood Count–Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation

Tong Zhou, Kun Yang, Ying Yang, Song-Mei Liu

JMIR Med Inform 2026 (Mar 12); 14:e83328

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Enhancing Predictive Accuracy of Mood Symptoms Using Wearable Devices and Machine Learning in Bipolar Disorder

P Keerthana Nair, Priyanka Renita D'Souza

JMIR Med Inform 2026 (Mar 12); 14:e92172

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Toward Retrieval-Grounded Evaluation for Conversational Large Language Model–Based Risk Assessment

Yihan Hu

JMIR AI 2026 (Mar 12); 5:e90759

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Authors’ Reply: Toward Retrieval-Grounded Evaluation for Conversational Large Language Model–Based Risk Assessment

Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang, Srinivasan Suresh, Steve Hicks, Usha Sethuraman, Dongxiao Zhu

JMIR AI 2026 (Mar 12); 5:e91981

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Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data

Sheng Chen, Yue Song, Chien-chung Huang

JMIR Aging 2026 (Mar 12); 9:e84703

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Smartphone-Based Interpretable Machine Learning for Classifying Single-Leg Squat Performance Using Trunk, Pelvic, and Knee Kinematics: Cross-Sectional Study

Sihyun Kim, Kyuenam Park

JMIR Mhealth Uhealth 2026 (Mar 12); 14:e85126

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Deep Learning–Based Estimated Pulmonary Biological Age From Chest Computed Tomography Images in Healthy Adults: Model Development and Validation Study

Liping Zuo, Na Zhu, Bowen Wang, Donglai Li, Jinlei Fan, Zhaolei Fan, Yongsheng Shang, Yongxiang Wang, Lei Xu, Peng Zhou, Wangshu Cai, Dexin Yu

JMIR Aging 2026 (Mar 12); 9:e78243

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AI-Based Personalized Therapy With Clinical Intelligence and Radiomics (SPOILS) for Patients With Low Back Pain: Prospective Observational Study

Purushottam Kumar, Suyash Singh, Bunil Kumar Balabantaray

JMIR AI 2026 (Mar 11); 5:e83322

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Bridging Population Patterns and Individual Prediction: Framework for Prospective Multimorbidity Study

Qianyao Zhang, Runtong Zhang, Weiguang Ma, Butian Zhao, Xiaomin Zhu

JMIR Med Inform 2026 (Mar 10); 14:e84261

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Enhanced Prediction of Atrial Fibrillation in Patients With Ischemic Stroke Through Electronic Medical Records and Text Mining: Algorithm Development and Validation

Yu-Wei Chen, Sheng-Feng Sung, Ya-Han Hu, Yu-Hsuan Yang

JMIR Med Inform 2026 (Mar 10); 14:e78117

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Integrating GPT-4o Into Data Mining in Neurosurgery: Feasibility and Proof-of-Concept Study

Arthur Henrique Almeida Sales, Jürgen Beck, Jürgen Grauvogel

JMIR Form Res 2026 (Mar 09); 10:e77114

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Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies

Firas Al-Hindawi, Teresa Wu, Yutong Wen, Peter Serhan, Erica Forzani, Francis Tsow, Yonas E Geda

JMIR Med Inform 2026 (Mar 06); 14:e83622

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Automated Annotation of Pain Chronicity in Patients With Back Pain by Using Electronic Health Records: Retrospective Study

Simran Ajay Kanal, Jeannie Bailey, Jeffrey Lotz, Aaron Scheffler, Thomas Peterson

JMIR Form Res 2026 (Mar 05); 10:e63198

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Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study

Jabed Al Faysal, Weihsuan Lo-Ciganic, Walid F Gellad, Yonghui Wu, Christopher A Harle, Khoa Nguyen, James L Huang, Gerald Cochran, Debbie L Wilson, Stephanie AS Staras, Siegfried OF Schmidt, Eric I Rosenberg, Danielle Nelson, Shunhua Yan, Gary M Reisfield, William M Greene, Courtney Kuza, Md Mahmudul Hasan

J Med Internet Res 2026 (Mar 05); 28:e79482

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Extrinsic Trust as a Contractual Framework for Accountable AI in Health Care: Viewpoint

Anthony Kelly

J Med Internet Res 2026 (Mar 05); 28:e83903

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Prediction of Aspiration Risk by Using Vocal Biomarkers: Machine Learning Development and Validation Study

Cyril Varghese, Jianwei Zhang, Sara Charney, Abdelmohaymin A Abdalla, Elizabeth Reeves, Stacy Holyfield, Adam E Brown, Michelle K Higgins, Hunter Stearns, Julie Liss, Nan Zhang, Diana Orbelo, Rebecca L Pittelko, Lindsay Rigelman, Victor Ortega, David G Lott, Visar Berisha

JMIR Form Res 2026 (Mar 04); 10:e86069

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Machine Learning–Based Audiovisual Phenotyping for Measuring Communication, Shared Decision-Making, and Trust

Shely Khaikin, Vineet Tiruvadi, Jeffrey Brooks, Alice Baird, Anne-Catherine Grela-Mpoko, Lindsey Hoffman, Jadyn Crossley, Menachem Leasy, Jaime Fineman, Margot Savoy, Laura Igarabuza, Anuradha Paranjape, Cheryl YS Foo, Michael L Birnbaum, Yaara Zisman-Ilani

JMIR Form Res 2026 (Mar 03); 10:e85906

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Enhanced Magnetic Resonance Imaging–Based Knee Cartilage Segmentation Using a Swin-UNet Conditional Generative Adversarial Network: Development and Validation Study

Jun Young Park, Ji-Hoon Nam, Shakhboz Abdigapporov, Jong-Keun Kim, Yong-Gon Koh, Byung Woo Cho, Hyuck Min Kwon, Kwan Kyu Park, Kyoung-Tak Kang

JMIR Med Inform 2026 (Mar 02); 14:e86155

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