Machine Learning

Patient Participation in AI for Health Curriculum

Kirsten Ostherr, Waverly Huang, Ana Park, Tom Punnen, Bhavik Tadigotla, Valencia Robinson, Andrea Downing

J Particip Med 2025 (Sep 24); 17:e69942

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Interpretable Machine Learning Model for Pulmonary Hypertension Risk Prediction: Retrospective Cohort Study

Hongxia Jiang, Han Gao, Dexin Wang, Qingli Zeng, Xiaojun Hao, Zhenshun Cheng

J Med Internet Res 2025 (Jan 25); 13(1):e74117

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Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

Manuel Alberto Silva, Emma J Hamilton, David A Russell, Fran Game, Sheila C Wang, Sofia Baptista, Matilde Monteiro-Soares

J Med Internet Res 2025 (Sep 24); 27:e69408

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Predicting Lymph Node Metastasis in Rectal Cancer: Development and Validation of a Machine Learning Model Using Clinical Data

Wei Hou, Chuangwei Li, Zhen Wang, Wanqin Wang, Shouhong Wan, Bingbing Zou

JMIR Med Inform 2025 (Sep 23); 13:e73765

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Understanding Cancer Survivorship Care Needs Using Amazon Reviews: Content Analysis, Algorithm Development, and Validation Study

Liwei Wang, Qiuhao Lu, Rui Li, Taylor B Harrison, Heling Jia, Ming Huang, Heidi Dowst, Rui Zhang, Hoda Badr, Jungwei W Fan, Hongfang Liu

JMIR Cancer 2025 (Sep 23); 11:e71102

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Handwriting in Mild Cognitive Impairment: Reliability Assessment and Machine Learning–Based Screening

Simone Toffoli, Carlo Abbate, Francesca Lunardini, Edoardo Corno, Nicholas Diani, Alessia Gallucci, Emanuele Tomasini, Pietro Davide Trimarchi, Simona Ferrante

JMIR Aging 2025 (Sep 23); 8:e73074

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Machine Learning and Shapley Additive Explanations Value Integration for Predicting the Prognostic of Anti-N-Methyl-D-Aspartate Receptor Encephalitis: Model Development and Evaluation Study

Jia Wang, Haotian Wu, Han Cai, YingXiang Wang, Jian Gu

JMIR Med Inform 2025 (Sep 22); 13:e75020

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Using Machine Learning Methods to Predict Early Treatment Outcomes for Multidrug-Resistant or Rifampicin-Resistant Tuberculosis to Enhance Patient Cure Rates: Development and Validation of Multiple Models

Fuzhen Zhang, Zilong Yang, Xiaonan Geng, Yu Dong, Shanshan Li, Cong Yao, Yuanyuan Shang, Weicong Ren, Ruichao Liu, Haobin Kuang, Liang Li, Yu Pang

J Med Internet Res 2025 (Sep 22); 27:e69998

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AI-Based Algorithm to Detect Heart and Lung Disease From Acute Chest Computed Tomography Scans: Protocol for an Algorithm Development and Validation Study

Anne Sophie Overgaard Olesen, Kristina Miger, Silas Nyboe Ørting, Jens Petersen, Marleen de Bruijne, Mikael Ploug Boesen, Michael Brun Andersen, Johannes Grand, Jens Jakob Thune, Olav Wendelboe Nielsen

JMIR Res Protoc 2025 (Sep 19); 14:e77030

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Potential of the World Health Organization’s Skin NTDs App to Support and Improve the Detection of Skin-Related Neglected Tropical Diseases: Protocol for a Performance Evaluation and Feasibility Study in Senegal

Dior Sall, Dominik Jockers, Pauline Dioussé, Jonas Wachinger, Gilbert Batista, Jose Antonio Ruiz Postigo, Laurene Petitfour, Charlotte Robert, Bachir Mansour Diallo, Fulgence Abdou Faye, Yacine Dieng, Maresa Neuerer, Agbogbenkou Tevi Dela-Dem Lawson, Felicitas Schwermann, Carme Carrion, Louis Hyacinthe Zoubi, Papa Mamadou Diagne, Christa Kasang, Fatou Ndiaye Oumar Sy, Mahamath Cisse, Till Bärnighausen, Madoky Diop

JMIR Res Protoc 2025 (Sep 19); 14:e69420

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Maturity Framework for Operationalizing Machine Learning Applications in Health Care: Scoping Review

Yutong Li, Julie Tian, Ariana Xu, Russell Greiner, Jake Hayward, Andrew James Greenshaw, Bo Cao

J Med Internet Res 2025 (Sep 19); 27:e66559

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Large Language Models’ Clinical Decision-Making on When to Perform a Kidney Biopsy: Comparative Study

Michael Toal, Christopher Hill, Michael Quinn, Ciaran O'Neill, Alexander P Maxwell

J Med Internet Res 2025 (Sep 18); 27:e73603

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Large Language Model–Supported Identification of Intellectual Disabilities in Clinical Free-Text Summaries: Mixed Methods Study

Aleksandra Edwards, Antonio F Pardiñas, George Kirov, Elliott Rees, Jose Camacho-Collados

JMIR AI 2025 (Sep 18); 4:e72256

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Fusion of X-Ray Images and Clinical Data for a Multimodal Deep Learning Prediction Model of Osteoporosis: Algorithm Development and Validation Study

Jun Tang, Xiang Yin, Jiangyuan Lai, Keyu Luo, Dongdong Wu

JMIR Med Inform 2025 (Sep 18); 13:e70738

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Leveraging Smart Bed Technology to Detect COVID-19 Symptoms: Case Study

Gary Garcia-Molina, Dmytro Guzenko, Susan DeFranco, Mark Aloia, Rajasi Mills, Faisal Mushtaq, Virend K Somers

JMIR AI 2025 (Sep 17); 4:e64018

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Development of a Recommendation Engine to University Student Mental Health Support Aligned With Stepped Care: Longitudinal Cohort Study

Pedro Velmovitsky, Charles Keown-Stoneman, Kaylen J Pfisterer, Julia Hews-Girard, Joseph Saliba, Shumit Saha, Scott Patten, Nathan King, Anne Duffy, Quynh Pham

J Med Internet Res 2025 (Sep 17); 27:e72669

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Identifying Predictors of Cervical Cancer Screening Uptake in Sub-Saharan Africa Using Machine Learning: Cross-Sectional Study

Nebebe Demis Baykemagn, Mekuriaw Nibret Aweke, Amare Mesfin, Lemlem Daniel Baffa, Muluken Chanie Agimas, Habtamu Wagnew Abuhay, Dagnew Getnet Adugna, Tewodros Getaneh Alemu, Alemu Teshale Bicha, Gebrie Getu Alemu

JMIR Public Health Surveill 2025 (Sep 17); 11:e71677

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Comparative Diagnostic Performance of a Multimodal Large Language Model Versus a Dedicated Electrocardiogram AI in Detecting Myocardial Infarction From Electrocardiogram Images: Comparative Study

Haemin Lee, Sooyoung Yoo, Joonghee Kim, Youngjin Cho, Dongbum Suh, Keehyuck Lee

JMIR AI 2025 (Sep 17); 4:e75910

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An Artificial Intelligence–Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study

Orhun Vural, Bunyamin Ozaydin, Khalid Y Aram, James Booth, Brittany Freeman Lindsey, Abdulaziz Ahmed

JMIR Med Inform 2025 (Sep 17); 13:e73960

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Using Wearable Device and Machine Learning to Predict Mood Symptoms in Bipolar Disorder: Development and Usability Study

Chia-Tung Wu, Ming H Hsieh, I-Ming Chen, Lian-Yin Jhao, Ding-Shan Liu, Ssu-Ming Wang, Chia-Ting Wu, Yi-Ling Chien

JMIR Med Inform 2025 (Sep 16); 13:e66277

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