Machine Learning

Articles published in 2026 in this theme: 296 (scroll down to load remaining articles)

2026

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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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Model and Task-Aware Test-Time Scaling Strategies for Large Language and Vision-Language Models in Medicine: Evaluation Study

Gyutaek Oh, Seoyeon Kim, Sangjoon Park, Byung-Hoon Kim

J Med Internet Res 2026 (Jul 23); 28:e90693

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Novel Musculoskeletal Hypotheses in the Armed Services Trauma and Rehabilitation Outcome (ADVANCE) Cohort: Development and Application of Sparse Group Factor Analysis Methodology

Fraje C E Watson, Fabio S Ferreira, Balasundaram Kadirvelu, Alex N Bennett, Aldo A Faisal, Neil Graham, Harriet Kemp, Paul Cullinan, Christopher Boos, Nicola T Fear, Anthony M J Bull

J Med Internet Res 2026 (Jul 21); 28:e91958

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Machine Learning–Augmented Traditional Analysis of Lactate vs Lactate-to-Albumin Ratio for Predicting Mortality Risk in Patients With Sepsis: Large-Scale Retrospective Study

Xiaodi Wang, Yi Xu, Weijun Xiao, Peng Dou, Yunxia Huang, Muhan Cao, Liang Luo, Qinghua Hou

JMIR Med Inform 2026 (Jul 16); 14:e82230

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Development and Clinical Evaluation of a Large Language Model–Based System for Generating Patient-Friendly Echocardiography Reports: Two-Stage Retrospective Validation and Prospective Survey Study

Yuanyuan Sun, Chengmin Huang, Huiyuan Kang, Kaimin Wu, Zhiyuan Jin, Caimei Chen, Mulan Liao, Weimei Ou, Bin Wang, Xu Chen, Guoming Zhang

J Med Internet Res 2026 (Jul 16); 28:e97136

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Publicly Accessible Large Language Model Responses to Frequently Asked Questions About Spondylodiscitis: Preliminary Expert Evaluation

Melanie Ardelt, David Schiffelholz, Siegmund Lang, Josina Straub, Sonja Häckel, Nicolas von der Hoeh, Marc Dreimann, Jonathan Neuhoff, Sebastian Siller, Denis Bratelj, Volker Alt, Dietmar Dammerer, Jonas Krueckel

J Med Internet Res 2026 (Jul 16); 28:e90364

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Application of AI in Hypertension Health Education: Scoping Review

Haoran Chen, Shenglan Xiao, Tong Wan, Gui Li, Yanhong Peng, Zhimin Wang

J Med Internet Res 2026 (Jul 15); 28:e95596

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An AI-Assisted Tool to Predict Continuous Glucose Monitor Adherence in Children With Type 1 Diabetes in Oman: Protocol for a Multiphase Mixed Methods Translational Study

Thamra Al Ghafri, Saud Al Harthi, Asma Bait Ishaq, Rahma Al-Ghadani, Maryam Al Muaini, Ahmed Aljufaili, Mohamed Al Harb, Abdullah Al Saadi, Abdelhamid Abdessalem, Noushath Shaffi, Mohamed Ahmed, Said Jaboob, Nadia Al Maqbali, Moza Al-Shehhi, Talib Al Kalbani, Amal Al Shukaili, Jannat Al Harthi, Huwaida Al Harthi

JMIR Res Protoc 2026 (Jul 13); 15:e99626

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Toward a Better Paradigm for Head and Neck Cancer Treatment Applying AI (HNC-TACTIC): Protocol for an International Cohort Study of Electronic Health Records

Hisham Mehanna, Jacobo Rogado, Alejandro Castro Calvo, Víctor González, Francina Aguilar, Dorian Culié, Álvaro Sanabria, Sergio Fabian Zuñiga Pavia, Marta Guix, Sujith Baliga, Roland Giger, Sara-Lynn Hool, Olgun Elicin, Matthaeus Stoehr, Ahmad K Abou-Foul, Melvin L K Chua, Pablo Parente, Andreas Dietz, John R de Almeida, Christian Simon, F Christopher Holsinger, Robert Ferris, Raul Giglio, Kate Hutcheson, David Casadevall, Miren Taberna

JMIR Res Protoc 2026 (Jul 13); 15:e83598

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Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study

Jae Seok Kwak, Hae Kook Lee, Sun-Jin Jo, Jun Hyuk Kwon, Sun Jung Kwon, Yena Kim, Haejung Lee

JMIR Mhealth Uhealth 2026 (Jul 10); 14:e88223

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Quantifying the Predictive Power of Social Determinants of Health in Cardiovascular Disease and Type 2 Diabetes Progression Using XGBoost: Retrospective Cohort Study

Hielke Muizelaar, Marcel Haas, Maarten van Aken, Rimke Vos, Marco Spruit

JMIR Med Inform 2026 (Jul 09); 14:e80377

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xHD-Vox, an Automated Speech Model for Estimating Motor and Cognitive Scores in Huntington Disease: Development and Longitudinal Validation

Tiphaine Le Ludec, Andres Gil-Salcedo, Hadrien Titeux, Robin Louiset, Clément Le Moine Veillon, Renaud Massart, Anne-Catherine Bachoud-Lévi

JMIR Neurotech 2026 (Jul 08); 5:e83838

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Prompt-Sensitive Decision Behavior of Large Language Models in Intensive Care Unit Mortality Prediction for Spontaneous Intracerebral Hemorrhage: Comparative Benchmarking Study

Jinn-Rung Kuo, Xiao-Han Vivian Yap, Chao-Chien Li, Yung-De Kuo, Chung-Feng Liu, Guan-Yu Chen

J Med Internet Res 2026 (Jul 08); 28:e29701

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AI-Assisted Detection of Supraspinatus Tendon Pathologies Using a Hierarchical Deep Learning Model to Improve Clinical Applicability: Development and Evaluation Study

Kun-Hui Chen, Jacky Chung-Hao Wu, Hsin-Yu Chang, En-Rung Chiang, Hsuan-Hsiao Ma, Hsin-Yi Wang, Henry Horng-Shing Lu, Chih-Yu Yang

JMIR Med Inform 2026 (Jul 08); 14:e84804

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Evaluation of the Applicability of Synthetic Data in the Development of Colorectal Cancer Survival Prediction Models: External Validation of Advanced Machine Learning Models Based on National Cancer Data Center Data

Yujeong Jang, Jae Hoon Kwon, Heeyong Kim, You-Jin Joung, Junho ‍Nang, Chang Hyun Kim

J Med Internet Res 2026 (Jul 07); 28:e86087

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