Machine Learning

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Articles published in this theme: 2436 (scroll down to load remaining articles)

2026

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Predicting Critical Outcomes in Suspected Cardiopulmonary Emergencies Using Dispatch Narratives: Temporal Validation Study

Zhe Li, Chunting Luo, Lei Shi, Siqi Huang, Jianmin Qin, Min Yao, Sanshan Zhu, Zhengzhuang Huang, Yinghua Nong, Guozheng Qiu, Liwen Lyu

J Med Internet Res 2026 (Aug 14); 28:e97672

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Cross-Silo Federated Learning for Predicting Successful Mechanical Ventilation Weaning Across 5 Intensive Care Unit Databases: Retrospective Database Analysis

Seyedmostafa Sheikhalishahi, Mathias Kaspar, Johanna Schwinn, Matthaeus Morhart, Philipp Simon, Ludwig Christian Hinske

JMIR Med Inform 2026 (Aug 14); 14:e79713

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Large Language Model Simplification of Open Access Pediatric Strabismus Literature: Cross-Sectional Validation of Readability and Clinical Fidelity

Mingming Jiang, Mingming Zhou, Xiaomei Wan, Jing Zhang

JMIR Form Res 2026 (Aug 14); 10:e91572

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Dynamic Lactate-to-Albumin Ratio Trajectories and Outcomes in Sepsis-Associated Acute Kidney Injury: Evidence From MIMIC-IV and a Multicenter Chinese Cohort

Fei Li, Xiaoxia Guo, Yunhao Li, Jin Zhang, Jingyi Wang, Pengchao Tian, Xi Zheng, Lifeng Huang, Yue Zheng, Wenxiong Li, Na Cui

JMIR Med Inform 2026 (Aug 14); 14:e92838

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Large Language Models for Mental Health Prediction: Scoping Review of Bias and Clinical Utility Documentation in 2019-2024

Clémentine Bleuze, Karën Fort, Vincent P Martin, Aurélie Névéol

JMIR AI 2026 (Aug 13); 5:e88082

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Real-World Barriers to and Facilitators of Implementing AI-Based Clinical Decision Support Systems: Scoping Review

Emma Bogner, Abby Thomas, Bishnu Bajgain, Cody van Rassel, Khara Sauro, Joon Lee

JMIR Med Inform 2026 (Aug 13); 14:e89834

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A Machine Learning–Based Model to Predict Overactive Bladder Risk Among US Women: Evidence From the National Health and Nutrition Examination Survey 2011-2018

Guoqiang Huang, Shuangquan Lin

JMIR Med Inform 2026 (Aug 12); 14:e80133

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Critical Care–Specific vs General-Purpose Large Language Models in Emergency Intensive Care Unit Diagnosis: Single-Center Retrospective Paired Comparative Study

Lihong Zheng, Xiaolu Liu, Zeyu Lin, Zhao Fan, Zhong He, Junjie Xu, Lu Yin

J Med Internet Res 2026 (Aug 11); 28:e98026

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Computable Phenotype for Identifying Undiagnosed Hypermobile Ehlers-Danlos Syndrome: Protocol for a Development and Validation Study

Mohammad Arvan, Rebecca T Feinstein, Nathan J Rudin, Michelle Nichols

JMIR Res Protoc 2026 (Aug 11); 15:e91647

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Application of Large Language Models in Chronic Disease Care: Mixed Methods Systematic Review and Thematic Synthesis

Linghui Zhang, Panpan Huai, Rui Xu, Jingjing Sun, Ruihua Jin, Huimei Lv

J Med Internet Res 2026 (Aug 11); 28:e90744

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Evaluating Retrieval-Augmented Large Language Models on Anesthesiology Board-Style Questions: Benchmark Study

Nguyen Quang Phuong, Shanq-Jang Ruan, Pei-Fu Chen

JMIR Form Res 2026 (Aug 11); 10:e97902

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A Machine Learning Pipeline to Analyze Global Sentiment and Factors Influencing Retinoblastoma Treatment Hesitancy: Observational Infodemiology Study

Emily S Wong, Richard W Choy, Esther W Tang, Yuzhou Zhang, Xiu Juan Zhang, Linbin Zhou, Wai Kit Chu, Li Jia Chen, Clement C Tham, Chi Pui Pang, Jason C Yam

J Med Internet Res 2026 (Aug 11); 28:e73364

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Social Media Reactions to Sex Toy Criminalization in Ghana: Cross-Sectional Sentiment and Text Network Analysis

Anthony Senanu Agbeve, Celestin Niyomugabo, Celestin Hakizimana, Daniel Yaw Fiaveh, Amanda Yad-El Ugboji, Caroline Pukall, Martina Anto-Ocrah

JMIR Infodemiology 2026 (Aug 11); 6:e91422

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Neurobiosensory and Visual Patterns of Attentional and Emotional Functioning in Children Using Machine Learning: Cross-Sectional Study

Ana Paula Azevedo, Andreia Sousa, Marta Evangelista, Ana Veloso, M Graça Pereira

JMIR Pediatr Parent 2026 (Aug 10); 9:e90041

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Unimodal and Multimodal Deep Learning for Pressure Injury Identification: Scoping Review

Yingxue Sun, Congcong Liu, Ji-cheng Zhang, Zhengang Wei, Zhenfeng Zhou, Chunmei Fan, Fangyan Yue

JMIR Med Inform 2026 (Aug 10); 14:e91048

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Network Analysis–Driven Machine Learning Model for Identifying High-Cost Stroke Inpatients Using Hospital Discharge Data: Retrospective Study

Haohui Shen, Yilong Yang, Mengge Zhang, Jingyi Xiang, Runan Wang, Pin Yao

JMIR Med Inform 2026 (Aug 10); 14:e93680

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Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study

Alan Katz, Abhishek Dhankar, Gillian Fransoo, Diane Gordon Pappas, Amani F Hamad, Christine Leong, Alexander Singer

J Med Internet Res 2026 (Aug 10); 28:e86467

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Prediction of Clinically Meaningful Improvement After Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Disorders: Machine Learning–Based Predictive Model Development and Temporal Validation Study

Olly Kravchenko, Matthew Halvorsen, Julia Bäckman, Viktor Kaldo, James J Crowley, Ralf Kuja-Halkola, Christian Rück, John Wallert

J Med Internet Res 2026 (Aug 07); 28:e100162

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Development and Validation of an Interpretable Machine Learning Model for Staging Helicobacter pylori–Initiated Intestinal-Type Gastric Cancer in the Correa Cascade: Cross-Sectional Study

Jiawei Tang, Huijin Chen, Wenwen Zhang, Alfred Chin Yen Tay, Barry J Marshall, Cong Ma, Liang Wang

J Med Internet Res 2026 (Aug 07); 28:e94837

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