Artificial Intelligence

Identification and Localization of Breast Tumor Components via a Convolutional Neural Network Based on High-Frequency Ultrasound Combined With Histopathologic Registration: Prospective Study

Jia-Qian Yao, Wen-Wen Zhou, Zhi-Fei Chai, Fei Ren, Tong-Yi Huang, Tian-Tian Zhen, Hui-Juan Shi, Xiao-Yan Xie, Ze Zhao, Ming Xu

JMIR Med Inform 2026 (Jan 23); 14:e81181

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Two-Minute Deep Learning–Powered Brain Quantitative Mapping: Accelerating Clinical Imaging With Synthetic Magnetic Resonance Imaging

Yawen Liu, Hongxia Yin, Zuofeng Zheng, Wenjuan Liu, Tingting Zhang, Linkun Cai, Haijun Niu, Han Lv, Zhenghan Yang, Zhenchang Wang, Pengling Ren

JMIR Med Inform 2026 (Jan 23); 14:e79389

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Community Health Nurses’ Knowledge and Perceptions of AI in Canada: National Cross-Sectional Survey

Mary Henderson Betkus, Davina Banner, Leanne Currie, Piper Jackson, Shannon Freeman

JMIR Nursing 2026 (Jan 23); 9:e78560

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Triaging Casual From Critical—Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study

Sarvech Qadir, Ashwaq Alsoubai, Jinkyung Katie Park, Naima Samreen Ali, Munmun De Choudhury, Pamela Wisniewski

JMIR Ment Health 2026 (Jan 23); 13:e76051

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Data Poisoning Vulnerabilities Across Health Care Artificial Intelligence Architectures: Analytical Security Framework and Defense Strategies

Farhad Abtahi, Fernando Seoane, Ivan Pau, Mario Vega-Barbas

J Med Internet Res 2026 (Jan 23); 28:e87969

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Diagnostic Performance of Deep Learning and Radiomics in Extracranial Carotid Plaque Detection: Systematic Review and Meta-Analysis

Lingjie Ju, Yongsheng Guo, Haiyong Guo, Ruijuan Liu, Yiyang Wang, Siyu Wang, Na Ma, Junhong Ren

J Med Internet Res 2026 (Jan 22); 28:e77092

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Using Artificial Intelligence Methods to Evaluate the Effect of the National Cytomegalovirus Awareness Month on the Content and Sentiment of Social Media Posts: Infodemiology Study

Tracy R Rosebrock, Zhen Yang, Lauren D'Arco, Tapan Pathak, Rebecca Vislay-Wade, Karen Fowler, John Diaz-Decaro, Colin Kunzweiler

JMIR Infodemiology 2026 (Jan 22); 6:e80922

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Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study

Mohammad Yaseliani, Je-Won Hong, Jiang Bian, Larisa Cavallari, Julio D Duarte, Danielle Nelson, Wei-Hsuan Lo-Ciganic, Khoa Anh Nguyen, Md Mahmudul Hasan

JMIR Med Inform 2026 (Jan 21); 14:e81048

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Machine Learning Prediction Models for Preeclampsia: Systematic Review and Meta-Analysis

Lu Liu, Qixuan Zhu, Yichi Zong, Xueyuan Chen, Wei Zhang, Jun Wang

J Med Internet Res 2026 (Jan 19); 28:e78714

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Evaluating and Validating Large Language Models for Health Education on Developmental Dysplasia of the Hip: 2-Phase Study With Expert Ratings and a Pilot Randomized Controlled Trial

Hui Ouyang, Gan Lin, Yiyuan Li, Zhixin Yao, Yating Li, Han Yan, Fang Qin, Jinghui Yao, Yun Chen

J Med Internet Res 2026 (Jan 19); 28:e73326

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Development of Venous Thromboembolism Risk Prediction Models Based on Whole Blood Gene Expression Profiling Using 20 Machine Learning Algorithms: Comprehensive Analysis Study

Yedong Huang, Xiaoyun Chen, Guannan Bai, Yajun Zhao, Dapeng Kuang, Lin Zhang, Wei Lu

JMIR Med Inform 2026 (Jan 16); 14:e75565

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Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models

Eric Pulick, Kyle A Carey, Tonela Qyli, Madeline K Oguss, Jamila K Picart, Leena Penumalee, Lily K Nezirova, Sean T Tully, Emily R Gilbert, Nirav S Shah, Urmila Ravichandran, Majid Afshar, Dana P Edelson, Yonatan Mintz, Matthew M Churpek

JMIR AI 2026 (Jan 16); 5:e81642

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Insights Into Factors Affecting Nurses’ Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study

Habib Alrashedi, Saad M Alderaan, Nader Alnomasy, Hamdi Lamine, Khalil A Saleh, Sameer A Alkubati

JMIR Nursing 2026 (Jan 16); 9:e85649

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The Diagnostic Value of Image-Based Machine Learning for Osteoporosis: Systematic Review and Meta-Analysis

Rui Zhao, Haolin Yang, Yangbo Li, Xiaoyun Li, Zhijie Yang, Yanping Lin, Jiachun Huang, Lei Wan, Hongxing Huang

J Med Internet Res 2026 (Jan 16); 28:e75965

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Mild Cognitive Impairment Detection System Based on Unstructured Spontaneous Speech: Longitudinal Dual-Modal Framework

Yu-Shan Liao, Thiri Wai, Ting-Yun Liao, Ho-Ling Chang, Yu-Ling Chang, Li-Chen Fu

JMIR Med Inform 2026 (Jan 15); 14:e80883

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Developing a Suicide Risk Prediction Algorithm Using Electronic Health Record Data in Mental Health Care: Real-World Case Study

Linda Hummel, Karin C A G Lorenz-Artz, Joyce J P A Bierbooms, Inge M B Bongers

JMIR Med Inform 2026 (Jan 14); 14:e74240

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From Agents to Governance: Essential AI Skills for Clinicians in the Large Language Model Era

Weiping Cao, Qing Zhang, Jialin Liu, Siru Liu

J Med Internet Res 2026 (Jan 14); 28:e86550

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Effectiveness of Machine Learning in Detecting Vessels Encapsulating Tumor Clusters in Hepatocellular Carcinoma: Systematic Review and Meta-Analysis

Huili Shui, Wenyu Wu, Zhenming Xie, Bing Yang, Jia Deng, Dongxin Tang

J Med Internet Res 2026 (Jan 14); 28:e82839

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The Role of AI in Improving Digital Wellness Among Older Adults: Comparative Bibliometric Analysis

Naveh Eskinazi, Moti Zwilling, Adilson Marques, Riki Tesler

JMIR AI 2026 (Jan 14); 5:e71248

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Accuracy of Deep Learning in Diagnosing Chronic Obstructive Pulmonary Disease: Systematic Review and Meta-Analysis

Hui Yang, Yijiu Wu, Tong Wu, Jingyan Ji, Sitao Lei, Weibin Xu

J Med Internet Res 2026 (Jan 14); 28:e83459

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