Machine Learning

Articles published in 2026 in this theme: 310 (scroll down to load remaining articles)

2026

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Deep Learning Estimation of Forced Expiratory Volume in One Second/Forced Vital Capacity and Obstructive Lung Disease Classification From Chest Radiographs With Subgroup Performance Analysis in a North American Cohort: Retrospective Cohort Study

Eptehal Nashnoush, Helen D'Couto, Benjamin Fine, Leo Anthony Celi, Mohamed Abdalla

JMIR AI 2026 (Aug 05); 5:e87770

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Prediction of Blood Transfusion Need and Dose in Patients With Upper Gastrointestinal Bleeding: Retrospective Multicenter Prediction Model Study

Xiaoyu Li, Yuqin He, Mingyang Hou, Zhi Yu, Shuai Miao, Zhiyong Huang, Min Yang

JMIR Med Inform 2026 (Aug 04); 14:e83889

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Smartphone-Based Physical Performance and Multidimensional Determinants of Self-Reported Knee Pain in Community-Dwelling Older Adults: Cross-Sectional Machine Learning and Network Analysis Study

Ui-jae Hwang, Peng Xia, Tianxiang Fan, Arnold YL Wong, Oh-yun Kwon, Siu-ngor Fu

JMIR Mhealth Uhealth 2026 (Aug 03); 14:e92466

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Addressing the Challenges in Using Synthetic Data for Health Research: Application to Cardiology

Louise Baschet, Sebastien Marque, Stéphane Locret, Jens Jenssen, Vanessa Barbet, Patrick Jourdain

JMIR Cardio 2026 (Jul 31); 10:e92930

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Accuracy of Machine Learning Algorithms Based on Electroencephalogram in Sleep Apnea Detection: Systematic Review and Meta-Analysis

Xiangshuo Li, Lulu Wang, Ting Tang, Yuanyuan Chen, Lan Yang, Hao Cai, Chen Wang, Shuxiao Zhang, Ning Ding, Kouying Liu

J Med Internet Res 2026 (Jul 31); 28:e93378

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Prediction of Postoperative Vomiting Within 24 Hours Using Machine Learning With Large Language Model–Enhanced Interpretability: Development and Validation Study

Huan-Jun Wang, Wei-Po Lee, Tz-Ping Gau, Kuang-I Cheng, Cheng-Ru Wei

JMIR Med Inform 2026 (Jul 31); 14:e84260

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Predicting Care Needs in Community-Dwelling Older Adults Using Explainable Machine Learning and a Multidimensional Approach Integrating Health, Social, and Environmental Factors: Cross-Sectional Study

Hyeri ‍Shin

JMIR Aging 2026 (Jul 31); 9:e93371

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Explainable Machine Learning for Public Health Informatics in HEDIS Childhood Immunization Status Combination 10

JiaLi Ruan

Online J Public Health Inform 2026 (Jul 31); 18:e90241

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Human-Centered AI in Sleep Health Management: Scoping Review of Stakeholder Perspectives and Co-Design Practices

Dacheng Dai, Fei Yao, Guimao Wang, Fangfang Xie, Jiahe Cui, Siyu Wang, Junhao Cai

J Med Internet Res 2026 (Jul 31); 28:e93779

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A Novel Convolutional Neural Network–Based Algorithm for Heart Rate Measurement From Ballistocardiography Signals in Diverse Clinical Settings: Observational Study

Kumar Chokalingam, Muthukumarasamy Saravanan, Ashish Kaushal, Srishti Rao, Inam Ur Rahman, Ashwathi Nambiar, Mudit Dandwate, Ravi Mahajan, Kunal Sarkar, Gaurav Parchani

JMIR Cardio 2026 (Jul 30); 10:e71224

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Evidence Use and Identifier-Conditioned Prior Knowledge in Large Language Model Classification of Oncology Trials Assessed Through Progressive Content Removal and Counterfactual Testing: Comparative Analysis

Paul Windisch, Carole Koechli, Fabio Dennstädt, Daniel M Aebersold, Daniel R Zwahlen, Robert Förster, Christina Schröder

JMIR AI 2026 (Jul 29); 5:e95565

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Detecting Narcissistic Personality Disorder Traits on Forums: Proof-of-Concept Study

Ahmet Emre Aladağ, Arzucan Özgür, Naz Berfu Akbaş, Oguzhan Zahmacioglu, Haluk O Bingol

J Med Internet Res 2026 (Jul 29); 28:e75799

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Machine Learning for Predicting Critical Postoperative Interventions: Proof-of-Concept Study Using the INSPIRE Dataset

Manan Shukla, Paul Fodor, Suresh Yelika, Nicholas Ahn

JMIR Perioper Med 2026 (Jul 28); 9:e65327

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Mapping Machine Learning–Driven Cybersecurity Solutions in Health Care: Scoping Literature Review

Kunal Rajput, Sharukh Zuberi, Mireille Elhajj, Washington Ochieng, Ara Darzi, Saira Ghafur

J Med Internet Res 2026 (Jul 27); 28:e93950

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Direct Reconstruction of High-Fidelity Electrocardiogram Signals From Vector-Based PDF Files With Integrated Deep Learning for Multiparameter Estimation: Retrospective Methodological Study

Shian-Sen Shie, Po-Yen Huang, Ming-Shien Wen, Chao-Yung Wang

JMIR Form Res 2026 (Jul 24); 10:e80597

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Performance of Large Language Models for Oncology Nursing Decision Support: Cross-Sectional Study

Qiongyu Zhou, Yan Jia, Haiqin Hu, Danjiao Huang, Yirong Xia, Wanying Wu, Xuefeng Chen

J Med Internet Res 2026 (Jul 24); 28:e97802

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Digital Acoustic Uroflowmetry for Noninvasive Urine Flow Rate Monitoring in Men Using Smartphone Acoustic Pattern Recognition: Protocol for the Development of a System and Mobile App

Kevin Yonathan, Harrina Erlianti Rahardjo, Irfan Wahyudi, Fina Widia, Putu Angga Risky Raharja, Saras Serani Sesari

JMIR Res Protoc 2026 (Jul 23); 15:e102842

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LLM-Generated Lay-Language Protocols for Molecular Tumor Board Patients: Evaluation of Quality and Clinical Usability

Tabea Margareta Grace Pakull, Noëlle Bender, Sven Benson, Anke Fleischhauer, Mohammad Alsara, Tanja Gromke, Thomas Hilser, Katharina Kaminski, Michael Pogorzelski, Nicola Prasuhn, Vivian Rosery, Dirk Schadendorf, Martin Schuler, Marcel Wiesweg, Gregor Zaun, Peter Alexander Horn, Christoph Matthias Friedrich, Ina Pretzell

J Med Internet Res 2026 (Jul 23); 28:e99136

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Large Language Model Few-Shot Learning for Predicting Individual Treatment Response to Smartphone-Based Mindfulness in Autistic Adults With Anxiety: Secondary Analysis of a Randomized Controlled Trial

Gun Ahn, Cindy E Li, Aixin Liang, Wonchang Choi, Seoin Ahn, Clark Roberts, John D E Gabrieli

JMIR AI 2026 (Jul 23); 5:e89054

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Initial-Visit Specialty Triage in Rare Diseases Using Large Language Models: Retrospective Benchmarking Study

Jie Song, Zhichuan Xu, Meng Xiao, Cheng Bi, Yuxin Zhang, Xin Zheng, Xiaoran Li, Qiongfang Cao, Ziyu Lu, Hao Yang, Bairong Shen

J Med Internet Res 2026 (Jul 23); 28:e101711

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