Machine Learning

Identification of Syndrome Types in Patients With Pancreatic Cancer From Free Text in Electronic Medical Records: Model Development and Validation

He Ba, Haojie Du, Chienshan Cheng, Yuan Zhang, Linjie Ruan, Zhen Chen

JMIR Form Res 2025 (Oct 03); 9:e70602

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Opportunities and Challenges of Using Artificial Intelligence in Predicting Clinical Outcomes and Length of Stay in Neonatal Intensive Care Units: Systematic Review

Samantha Tudor, Risha Bhatia, Michael Liem, Tafheem Ahmad Wani, James Boyd, Urooj Raza Khan

J Med Internet Res 2025 (Oct 03); 27:e63175

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Heterogeneous Network With Multiview Path Aggregation: Drug–Target Interaction Prediction Study Design

Haixue Zhao, Kui Yao, Yunjiong Liu, Chao Che, Lin Tang

JMIR Med Inform 2025 (Oct 02); 13:e74974

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Real-Time Health Monitoring Using 5G Networks: Deep Learning–Based Architecture for Remote Patient Care

Iqra Batool

JMIRx Med 2025 (Oct 01); 6:e70906

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Application of Large Language Models in Data Analysis and Medical Education for Assisted Reproductive Technology: Comparative Study

Noriyuki Okuyama, Mika Ishii, Yuriko Fukuoka, Hiromitsu Hattori, Yuta Kasahara, Tai Toshihiro, Koki Yoshinaga, Tomoko Hashimoto, Koichi Kyono

JMIR Form Res 2025 (Oct 01); 9:e70107

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Machine Learning–Enhanced Surveillance for Surgical Site Infections in Patients Undergoing Colon Surgery: Model Development and Evaluation Study

Ugur Celik, Feifan Liu, Kimiyoshi Kobayashi, Richard T Ellison III, Yurima Guilarte-Walker, Deborah Ann Mack, Qiming Shi, Adrian Zai

JMIR Form Res 2025 (Oct 01); 9:e75121

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AI-Enabled, Text-Based Health Coaching and Navigation for Employees to Support Health Outcomes: Pre-Post Observational Study

Paula Wilbourne, Susan Mirch-Kretschmann, Denise Walker, Michael Varghese, Roberto Arnetoli

JMIR Form Res 2025 (Sep 30); 9:e64553

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Severity Classification of Anxiety and Depression Using Generalized Anxiety Disorder Scale and Patient Health Questionnaire: National Cross-Sectional Study Applying Classification and Regression Tree Models

Andre Faro, Julian Tejada, Wael Al-Delaimy

JMIR Public Health Surveill 2025 (Sep 30); 11:e72591

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Large Language Models in Lung Cancer: Systematic Review

Ruikang Zhong, Siyi Chen, Zexing Li, Tangke Gao, Yisha Su, Wenzheng Zhang, Dianna Liu, Lei Gao, Kaiwen Hu

J Med Internet Res 2025 (Sep 30); 27:e74177

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Speech Emotion Recognition in Mental Health: Systematic Review of Voice-Based Applications

Eric Jordan, Raphaël Terrisse, Valeria Lucarini, Motasem Alrahabi, Marie-Odile Krebs, Julien Desclés, Christophe Lemey

JMIR Ment Health 2025 (Sep 30); 12:e74260

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Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study

Xinbo Ge, Weiwei Chen, Jianshan Shi, Jiaqiang Zhang, Hao Tai, Ying Zhang, Biao Wang, Wei Liu, Song Chen, Huirui Han

J Med Internet Res 2025 (Sep 30); 27:e73840

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Predicting Waiting Times for Medical Tasks in a Pediatric Hospital Using Machine Learning: Comprehensive, Retrospective, Real-World Study

Lin Lin Guo, Rui Tang, Jia Yang Wang, Si Zheng, Yin Zeng, Jun Hou, Mo Chen Dong, Jiao Li, Ying Cui

JMIR Med Inform 2025 (Sep 29); 13:e77297

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Author’s Reply: "Data Contamination in AI Evaluation"

ChulHyoung Park, Min Ho An, Gyubeom Hwang, Rae Woong Park, Juho An

JMIR Med Inform 2025 (Sep 29); 13:e82057

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Data Contamination in AI Evaluation

Alaeddin Acar

JMIR Med Inform 2025 (Sep 29); 13:e80987

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Synthetic Tabular Data Generation Under Horizontal Federated Learning Environments in Acute Myeloid Leukemia: Case-Based Simulation Study

Imanol Isasa, Mikel Catalina, Gorka Epelde, Naiara Aginako, Andoni Beristain

JMIR Med Inform 2025 (Sep 29); 13:e74116

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Toward a Clinically Actionable, Electronic Health Record–Based Machine Learning Model to Forecast 90-Day Change in Hemoglobin A1c in Youth With Type 1 Diabetes: Feasibility and Model Development Study

Erin M Tallon, David D Williams, Cintya Schweisberger, Colin Mullaney, Brent Lockee, Diana Ferro, Craig A Vandervelden, Mitchell S Barnes, Angelica Cristello Sarteau, Anna R Kahkoska, Susana R Patton, Sanjeev Mehta, Ryan McDonough, Marcus Lind, Leonard D'Avolio, Mark A Clements

JMIR Diabetes 2025 (Sep 25); 10:e69142

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Harnessing the Power of Technology to Transform Delirium Severity Measurement in the Intensive Care Unit: Protocol for a Prospective Cohort Study

Roshini Raghu, Keivan Nalaie, Ivan Ayala, Juan Jose Morales Behaine, Juan Pablo Garcia-Mendez, Hannah Friesen, Kathleen Leistikow, Anirban Bhattacharyya, Arun Jayaraman, Pablo Moreno Franco, Alejandro Rabinstein, Linda L Chlan, Malaz Boustani, Vitaly Herasevich, Heidi Lindroth

JMIR Res Protoc 2025 (Sep 25); 14:e62912

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Clinical Performance Evaluation of an Artificial Intelligence–Based Tool for Predicting the Presence of Obstructive Coronary Artery Disease: Protocol for a Cohort Observational Study

Georgios Rampidis, Evangelos Logaras, Athanasios Samaras, Emmanouil S Rigas, Ilias Kyparissidis-Kokkinidis, Styliana Siakopoulou, Panagiotis-Emmanouil Kartsidis, Konstantinos Kouskouras, George Giannakoulas, Panagiotis Bamidis, Antonios Billis

JMIR Res Protoc 2025 (Sep 25); 14:e67697

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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

JMIR Med Inform 2025 (Sep 24); 13:e74117

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