Machine Learning

Articles published in 2026 in this theme: 258 (scroll down to load remaining articles)

2026

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An Explainable AI Framework for Continuous Monitoring, Risk Stratification, and Clinical Decision Support in Primary Biliary Cholangitis: Protocol for a Multiphase Development and Validation Study

Basile Njei, Ulrick Sidney Kanmounye

JMIR Res Protoc 2026 (Jun 24); 15:e89279

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Beyond Area Under the Receiver Operating Characteristic Curve: Evaluating Predictive Performance Metrics Under Class Imbalance in Real-World Clinical Data

Vanessa das Graças José Ventura, Claudio Moisés Valiense de Andrade, Jussara Marques de Almeida, Bruno Porto Pessoa, Carísi Anne Polanczyk, Guilherme Fonseca do Nascimento, Eric Boersma, Heloisa Reniers Vianna, Katia de Paula Farah, Leonardo Chaves Dutra da Rocha, Marcos André Gonçalves, Milena Soriano Marcolino

JMIR Form Res 2026 (Jun 24); 10:e86379

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Machine Learning–Based Prognostic Models for Functional Outcomes in Spinal Cord Injury: Systematic Review

Yuan Liu, Xiangxia Meng, Yi Ding, Ruifa Yao, Shuchang Xu

JMIR Med Inform 2026 (Jun 23); 14:e84980

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Noninvasive Electrophysiological Biomarkers of Olfactory Responses Across Cognitive States in Alzheimer Dementia: Cross-Sectional Study

Juchan Ha, Junsoo Bok, Yunjin Lee, Yong Sung Kim, June Sic Kim, Hee-Jin Kim, Yongwoo Jang

JMIR Mhealth Uhealth 2026 (Jun 23); 14:e76245

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Computational Insights Into Smart Bioelectronics in Digital Health Care (2020-2024): Topic Modeling Study

JiWon Bae, JiHoon Lee, Pildong Hwang, Ji Eun Shin, Sung Ryul Shim, Jong-Yeup Kim, Seunghee Lee

JMIR Med Inform 2026 (Jun 23); 14:e83092

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Harmonized Dual Deep Learning Architectures for Image-Based Diagnostics of Skin Neglected Tropical Diseases: Benchmark Study via Novel Funnel Framework

Yohannes Minyilu, Mohammed Abebe Yimer, Million Meshesha

JMIR Dermatol 2026 (Jun 23); 9:e91544

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Leveraging Large Language Models to Integrate Clinical Knowledge and Machine Learning Predictions for Lymph Node Metastasis Prediction: Development of a Knowledge-Augmented Framework

Hongying Yu, Bing Liu, Xian Zeng, Mucheng Ren, Zheng Cao, Xiaofeng Zhu, Xudong Lu, Jun Xu, Nan Wu, Danqing Hu

JMIR Med Inform 2026 (Jun 22); 14:e86700

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Development of Data-Driven Models for Just-in-Time Digital Self-Management Advice to Improve Physical Functioning in Hip and Knee Osteoarthritis: Protocol for the e-cOAch Cross-Over Study

Femke Groen, Mariëtte de Rooij, Corelien J J Kloek, Cindy Veenhof, Michel C A Klein, Abdallah Al-Janabi, Erik S van Haeringen, Amber Ronteltap, Bas Paans-Cijs, Britt van Dongen, Dorien E Ginsel, Di-Janne A Barten, Thomas J Hoogeboom, Martijn F Pisters

JMIR Res Protoc 2026 (Jun 22); 15:e94709

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Functional Outcome Prediction in Young Adults With Mental Health Symptoms Using Machine Learning and Large Language Models: Longitudinal Observational Study

Pavol Mikolas, Fabian Huth, Kyra Bröckel-Bundt, Christina Berndt, Julia Martini, Birgit Maicher, Michael Marxen, Falk Gerrik Verhees, Paula Marie Henneberg, Andreas Jansen, Tilo Kircher, Irina Falkenberg, Florian Thomas-Odenthal, Martin Lambert, Vivien Kraft, Gregor Leicht, Christoph Mulert, Andreas J Fallgatter, Thomas Ethofer, Anne Rau, Karolina Leopold, Andreas Bechdolf, Reif Andreas, Silke Matura, Jonathan Repple, Felix Bermpohl, Jana Fiebig, Thomas Stamm, Christoph U Correll, Georg Juckel, Vera Flasbeck, Isabella C Wiest, Jakob N Kather, Udo Dannlowski, Eva Mennigen, Philipp Ritter, Michael Bauer, Andrea Pfennig, Christoph Vogelbacher

JMIR Ment Health 2026 (Jun 22); 13:e84424

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Online Sepsis Prediction Using Vital Signs and Multiscale Temporal-Aware Contrastive Learning: Model Development and Validation Study

Xiaoqiong Yang, Zezhong Lv, Hanming Lv, Qianyi Zhou, Wei Jiang, Ziqun Meng, Wenjie Yang

JMIR Med Inform 2026 (Jun 19); 14:e82762

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Hepatic Steatosis Severity Prediction in Nonobese Individuals: Machine Learning Model Development and Validation

Yitong Zhu, Yongshuai Wang, Shenyu Zhang, Jian Yang, Feng Zhang, Yan Liu, Jun Shang, Yongliang Zhang, Jizhou Wang, Lianxin Liu

J Med Internet Res 2026 (Jun 19); 28:e82529

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Methods for Detecting Suspicious Information From Individual Transactions of Pharmaceutical Products via Twitter (now X): Retrospective Observational Study

Ruoyu Zhang, Kazuko Kimura, Naoko Yoshida

J Med Internet Res 2026 (Jun 19); 28:e91103

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Predicting Frailty Trajectories Using Interpretable Machine Learning Among Older Adults Following Hip Surgery: Prospective Longitudinal Study

Jingying Huang, Qinqin Fan, Huiqin Shi, Jiaojiao Chen, Hongbo Gao, Kailai Gu, Jin Yang

JMIR Aging 2026 (Jun 16); 9:e90705

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Using AI to Detect Psychosis Relapse: Scoping Review

Lorenzo Ghelfi, Jack Healy, Francesco Piacenza, Ian French, Nicholas McNamara, Khyber Afridi Rabbi, Benjamin Bond, Emma O'Hora, Darren Roddy, Moyyad Kamali, Sudipto Das, Sandra Anna Just, Enrico Tedeschi, Musarrat Hussain, Karl Øyvind Mikalsen, Stefan Kaiser, Giacomo Cecere, Sanne Koops, Janna de Boer, Elysie Nguyen, Emre Bora, Wolfram Hinzen, Philipp Homan, Iris E Sommer, David Cotter, Mary Cannon, John Paul Lyne

JMIR Ment Health 2026 (Jun 16); 13:e92192

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Predicting Laboratory Test Ordering in Emergency Departments Using Integrated Structured and Unstructured Electronic Health Records: Machine Learning Study

Xingyu Zhang, Haipeng Ling, Xin Zhang, Anao Zhang

JMIR Med Inform 2026 (Jun 15); 14:e85255

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Performance of Deep Learning in Classifying Age-Related Macular Degeneration From Images: Systematic Review and Meta-Analysis

Yu Zhu, Yue Niu, Shangye Sun, Wei Liu, Ying Dou, Yu Guo

J Med Internet Res 2026 (Jun 15); 28:e97174

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Legal Infoveillance of Unlicensed Medical Practices in South Korea Through Criminal Court Decisions Using Machine Learning: Retrospective Observational Study

Min Ji Kim, Min Choi

JMIR Public Health Surveill 2026 (Jun 15); 12:e92591

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An Evaluation of Pretrained Generative Models for Augmenting Small Health Data: Comparative Modeling Study

Margerie Huet-Dastarac, Fida K Dankar, Dan Liu, Samer El Kababji, Lisa Pilgram, Khaled El Emam

J Med Internet Res 2026 (Jun 15); 28:e88678

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Application Value of Radiomics-Based Machine Learning for Preoperative Risk Stratification of Bladder Cancer: Systematic Review and Meta-Analysis

Zirong He, Yinghua Liu, Qin Jiang, Fang Hou, Bing Xu

J Med Internet Res 2026 (Jun 12); 28:e81084

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Topic-Aware Summarization of Lived Health Care Experiences: Large Language Model Evaluation Study

Maneesh Bilalpur, Megan E Hamm, Young Ji Lee, Natasha G Norman, Kathleen M Mctigue, Yanshan Wang

JMIR Med Inform 2026 (Jun 11); 14:e85960

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