Machine Learning

Predicting Metabolic Dysfunction–Associated Fatty Liver Disease Phenotypes Among Adults: 2-Stage Contrastive Learning Method

Sizhe Jasmine Chen, Da Xu, Derek K Hu, Paul Jen-Hwa Hu, Ting-Shuo Huang

JMIR Med Inform 2025 (Dec 12); 13:e75747

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Factors Associated With Suicidal Ideation Among Persons With Disabilities in South Korea: Retrospective Observational Study

In-Hwan Oh, Sooyeon Jo, Joon Lee

JMIR Form Res 2025 (Dec 12); 9:e80261

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Radiomics-Based AI Model to Assist Clinicians in Intracranial Hemorrhage Diagnosis: External Validation Study

Salita Angkurawaranon, Natipat Jitmahawong, Kittisak Unsrisong, Phattanun Thabarsa, Chakri Madla, Withawat Vuthiwong, Thanwa Sudsang, Chaisiri Angkurawaranon, Patrinee Traisathit, Papangkorn Inkeaw

JMIR Form Res 2025 (Dec 11); 9:e81038

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Development and Validation of a Web-Based Machine Learning Model for Predicting Early Neurological Deterioration Following Stroke Thrombolysis: Multicenter Study

Juan Li, Huanxian Chang, Shouyun Du, Chunyang Zhang, Han Zhang, Luming Li, Lingsheng Kong, Guodong Li, Tingting Liang, Ronghong Yang, Bingchao Xu, Xinyu Zhou, Guanghui Zhang, Yongan Sun, Xiaobing He, Bei Xu, Zaipo Li, Yanan He, Mingli He

J Med Internet Res 2025 (Dec 10); 27:e77858

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Localized Muscular Fatigue in Robotic-Assisted Laparoscopic Surgery: Predictive Modeling Study

Daniel Caballero, Manuel J Pérez-Salazar, Juan A Sánchez-Margallo, Francisco M Sánchez-Margallo

JMIR Form Res 2025 (Dec 10); 9:e68536

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Adoption of Machine Learning in US Hospital Electronic Health Record Systems: Retrospective Observational Study

Huang Huang, Wei Lyu, Md Mahmud Hasan, Shannon H Houser

J Med Internet Res 2025 (Dec 09); 27:e76126

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Coagulation Risk Prediction in Patients With Liver Failure: Integrated Meta-Analysis and Machine Learning Model Study

Hao Wang, Tao He, Liang Ren, Tingjun Zhang

JMIR Med Inform 2025 (Dec 08); 13:e76348

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Detecting Sociodemographic Biases in the Content and Quality of Large Language Model–Generated Nursing Care: Cross-Sectional Simulation Study

Nan Bai, Yijing Yu, Chunyan Luo, Si Chen Zhou, Qing Wang, Huijing Zou, Qian Liu, Guanghui Fu, Wei Zhai, Qing Zhao, Jianqiang Li, Xinni Wei, Bing Xiang Yang

J Med Internet Res 2025 (Dec 05); 27:e78132

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Predicting Spinal Cord Injury Prognosis Using Machine Learning: Systematic Review and Meta-Analysis

Linxing Zhong, Qiying Huang, Hao Zhang, Liang Xue, Yehuang Chen, Jianwu Wu, Liangfeng Wei

JMIR AI 2025 (Dec 05); 4:e66233

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The Efficacy of Rule-Based Versus Large Language Model-Based Chatbots in Alleviating Symptoms of Depression and Anxiety: Systematic Review and Meta-Analysis

Qiuxue Du, Yongliang Ren, Ze-long Meng, Han He, Shasha Meng

J Med Internet Res 2025 (Dec 04); 27:e78186

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Differentiating Pediatric Bipolar Disorder, Attention-Deficit/Hyperactivity Disorder, and Other Psychopathologies Using Self-Reported Mood and Energy Data and Actigraphy Findings: Correlation and Machine Learning–Based Prediction of Mood Severity

Rasim S Diler, Farzan Vahedifard, Boris Birmaher, Satish Iyengar, Maria Wolfe, Brianna N Lepore, Mariah Chobany, Halimah Abdul-Waalee, Greeshma Malgireddy, Jonathan A Hart, Michele A Bertocci

JMIR Ment Health 2025 (Dec 04); 12:e78163

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Automated Speech Analysis for Screening and Monitoring Bipolar Depression: Machine Learning Model Development and Interpretation Study

Sooyeon Min, Tae-Sung Yeum, Daun Shin, Sang Jin Rhee, Hyunju Lee, Han-Sung Lee, Seongmin Park, Jihwa Lee, Yong Min Ahn

JMIR Med Inform 2025 (Dec 04); 13:e79093

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Machine Learning–Based Prediction of In-Hospital Falls in Adult Inpatients: Retrospective Observational Multicenter Study

Takuya Nishino, Kotone Matsuyama, Yasuo Miyagi, Nari Tanabe, Fumiko Yamaguchi, Hiroki Ito, Shizuka Soh, Ayako Yano, Masako Mizuno, Katsuhito Kato, Hiroshige Jinnouchi, Chol Kim, Yosuke Ishii, Hiroki Yamaguchi, Yukihiro Kondo

JMIR Med Inform 2025 (Dec 04); 13:e75958

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Unsupervised Characterization of Temporal Dataset Shifts as an Early Indicator of AI Performance Variations: Evaluation Study Using the Medical Information Mart for Intensive Care-IV Dataset

David Fernández-Narro, Pablo Ferri, Alba Gutiérrez-Sacristán, Juan M García-Gómez, Carlos Sáez

JMIR Med Inform 2025 (Dec 03); 13:e78309

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Machine Learning–Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation

Samuel Kakraba, Srinivas Ayyadevara, Aayire Yadem Clement, Kuukua Egyinba Abraham, Cesar M Compadre, Robert J Shmookler Reis

JMIR AI 2025 (Dec 03); 4:e77890

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Associations Between Dietary Habits and Accelerated Aging and the Establishment of an Accelerated Aging Interpretable Risk Prediction Model via Shapley Additive Explanations: Cross-Sectional Study From Two Representative Populations

Zhengyang Wu, Ning Zhang, Haiwei Wang, Yang Yang, Houhao Shen, Qidi Zhang, Yunxia Cao, Yinan Du, Dongmei Ji

JMIR Aging 2025 (Dec 01); 8:e72020

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Identifying Key Variances in Clinical Pathways Associated With Prolonged Hospital Stays Using Machine Learning and ePath Real-World Data: Model Development and Validation Study

Saori Tou, Koutarou Matsumoto, Asato Hashinokuchi, Fumihiko Kinoshita, Yasunobu Nohara, Takanori Yamashita, Yoshifumi Wakata, Tomoyoshi Takenaka, Hidehisa Soejima, Tomoharu Yoshizumi, Naoki Nakashima, Masahiro Kamouchi

JMIR Med Inform 2025 (Dec 01); 13:e71617

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Predictive Performance of Radiomics-Based Machine Learning for Colorectal Cancer Recurrence Risk: Systematic Review and Meta-Analysis

Yuan Sun, Bo Li, Chuanlan Ju, Liming Hu, Huiyi Sun, Jing An, Tae-Hun Kim, Zhijun Bu, Zeyang Shi, Jianping Liu, Zhaolan Liu

JMIR Med Inform 2025 (Nov 28); 13:e78644

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Radiomics-Based Machine Learning for the Detection of Myometrial Invasion in Endometrial Cancer: Systematic Review and Meta-Analysis

Wanhao Jiang, Huali Wang, Yumeng Cui

J Med Internet Res 2025 (Nov 27); 27:e78809

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Risk Prediction of Major Adverse Cardiovascular Events Within One Year After Percutaneous Coronary Intervention in Patients With Acute Coronary Syndrome: Machine Learning–Based Time-to-Event Analysis

Hong-Jae Choi, Changhee Lee, Hack-Lyoung Kim, Youn-Jung Son

JMIR Med Inform 2025 (Nov 27); 13:e81778

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