Clinical Information and Decision Making

To Implement or Not to Implement? A Commentary on the Pitfalls of Judging the Value and Risks of Personalized Prognostic Statistical Models

Linda Baumbach, Walter Hötzendorfer, Jan Baumbach

J Med Internet Res 2025 (May 19); 27:e69341

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Benchmarking the Confidence of Large Language Models in Answering Clinical Questions: Cross-Sectional Evaluation Study

Mahmud Omar, Reem Agbareia, Benjamin S Glicksberg, Girish N Nadkarni, Eyal Klang

JMIR Med Inform 2025 (May 16); 13:e66917

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Patient Triage and Guidance in Emergency Departments Using Large Language Models: Multimetric Study

Chenxu Wang, Fei Wang, Shuhan Li, Qing-wen Ren, Xiaomei Tan, Yaoyu Fu, Di Liu, Guangwu Qian, Yu Cao, Rong Yin, Kang Li

J Med Internet Res 2025 (May 15); 27:e71613

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Personalized Digital Care Pathways Enable Enhanced Patient Management as Perceived by Health Care Professionals: Mixed-Methods Study

David Rodrigues, Clara Jasmins, Ricardo Ladeiras-Lopes, Luis Patrao, Eduardo Freire Rodrigues

JMIR Hum Factors 2025 (May 15); 12:e68581

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Deep Learning–Based Chronic Obstructive Pulmonary Disease Exacerbation Prediction Using Flow-Volume and Volume-Time Curve Imaging: Retrospective Cohort Study

Eun-Tae Jeon, Heemoon Park, Jung-Kyu Lee, Eun Young Heo, Chang Hoon Lee, Deog Kyeom Kim, Dong Hyun Kim, Hyun Woo Lee

J Med Internet Res 2025 (May 15); 27:e69785

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Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Study

Weiwei Hu, Yulong Liu, Jian Dong, Xuelian Peng, Chunyan Yang, Honglin Wang, Yong Chen, Shan Shi, Jin Li

J Med Internet Res 2025 (May 15); 27:e67847

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Machine Learning for Predicting Postoperative Functional Disability and Mortality Among Older Patients With Cancer: Retrospective Cohort Study

Yuki Hashimoto, Norihiko Inoue, Takuaki Tani, Shinobu Imai

JMIR Aging 2025 (May 14); 8:e65898

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Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis

Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

J Med Internet Res 2025 (May 13); 27:e66615

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Barriers and Enablers to Using a Mobile App–Based Clinical Decision Support System in Managing Perioperative Adverse Events Among Anesthesia Providers: Cross-Sectional Survey in China

Xixia Feng, Peiyi Li, Renjie Zhao, Weimin Li, Tao Zhu, Xuechao Hao, Guo Chen

J Med Internet Res 2025 (May 13); 27:e60304

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Machine Learning Model for Predicting Coronary Heart Disease Risk: Development and Validation Using Insights From a Japanese Population–Based Study

Thien Vu, Yoshihiro Kokubo, Mai Inoue, Masaki Yamamoto, Attayeb Mohsen, Agustin Martin-Morales, Research Dawadi, Takao Inoue, Jie Ting Tay, Mari Yoshizaki, Naoki Watanabe, Yuki Kuriya, Chisa Matsumoto, Ahmed Arafa, Yoko M Nakao, Yuka Kato, Masayuki Teramoto, Michihiro Araki

JMIR Cardio 2025 (May 12); 9:e68066

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Pragmatic Risk Stratification Method to Identify Emergency Department Presentations for Alternative Care Service Pathways: Registry-Based Retrospective Study Over 5 Years

John Rong Hao Tay, Yohei Okada, Gayathri Devi Nadarajan, Fahad Javaid Siddiqui, Tomás Barry, Marcus Eng Hock Ong

J Med Internet Res 2025 (May 12); 27:e73758

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Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation

Yaxi Luo, Meng Jiao, Neel Fotedar, Jun-En Ding, Ioannis Karakis, Vikram R Rao, Melissa Asmar, Xiaochen Xian, Orwa Aboud, Yuxin Wen, Jack J Lin, Fang-Ming Hung, Hai Sun, Felix Rosenow, Feng Liu

J Med Internet Res 2025 (May 12); 27:e69173

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Machine Learning Clinical Decision Support for Interdisciplinary Multimodal Chronic Musculoskeletal Pain Treatment: Prospective Pilot Study of Patient Assessment and Prognostic Profile Validation

Fredrick Zmudzki, Rob J E M Smeets, Jan S Groenewegen, Erik van der Graaff

JMIR Rehabil Assist Technol 2025 (May 09); 12:e65890

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Effects of the National Institutes of Health Stroke Scale and Modified Rankin Scale on Predictive Models of 30-Day Nonelective Readmission and Mortality After Ischemic Stroke: Cohort Study

Mai N Nguyen-Huynh, Janet Alexander, Zheng Zhu, Melissa Meighan, Gabriel Escobar

JMIR Med Inform 2025 (May 09); 13:e69102

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Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Yongsheng Zhang, Hongyu Zhang, Dawei Wang, Na Li, Haoyue Lv, Guang Zhang

J Med Internet Res 2025 (May 09); 27:e73190

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Development of a Risk Score to Aid With the Diagnosis of Infections After Spinal Cord Injury: Protocol for a Retrospective Cohort Study

Felicia Skelton, Larissa Grigoryan, Joann Pan, Ashley Collazo, Barbara Trautner

JMIR Res Protoc 2025 (May 08); 14:e52610

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Identifying Medication Review Topics to Be Documented in a Structured Form in Electronic Health Record Systems: Delphi Consensus Survey

Tanja Lindholm, Noora Lias, Kirsi Kvarnström, Anna-Riia Holmström, Terhi Toivo, Marjo Uusitalo, Harri Nurmi, Marja Airaksinen

J Med Internet Res 2025 (May 06); 27:e70133

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Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks

Antti Etholén, Teemu Roos, Mirja Hänninen, Ioanna Bouri, Jenni Kulmala, Ossi Rahkonen, Anne Kouvonen, Tea Lallukka

J Med Internet Res 2025 (May 06); 27:e65028

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Diagnosis of Sarcopenia Using Convolutional Neural Network Models Based on Muscle Ultrasound Images: Prospective Multicenter Study

Zi-Tong Chen, Xiao-Long Li, Feng-Shan Jin, Yi-Lei Shi, Lei Zhang, Hao-Hao Yin, Yu-Li Zhu, Xin-Yi Tang, Xi-Yuan Lin, Bei-Lei Lu, Qun Wang, Li-Ping Sun, Xiao-Xiang Zhu, Li Qiu, Hui-Xiong Xu, Le-Hang Guo

J Med Internet Res 2025 (May 06); 27:e70545

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Code Error in “Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning”

Catriona Miller, Theo Portlock, Denis M Nyaga, Greg D Gamble, Justin M O'Sullivan

JMIR Med Inform 2025 (May 06); 13:e66556

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