Clinical Information and Decision Making

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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Process Re-Engineering and Data Integration Using Fast Healthcare Interoperability Resources for the Multidisciplinary Treatment of Lung Cancer

Ching-Hsiung Lin, Bing-Yen Wang, Sheng-Hao Lin, Pei Hsuan Shih, Chin-Jing Lee, Yung Ting Huang, Shih Chieh Chen, Mei-Lien Pan

JMIR Cancer 2025 (May 05); 11:e53887

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Developing a Scalable Annotation Method for Large Datasets That Enhances Alarms With Actionability Data to Increase Informativeness: Mixed Methods Approach

Sophie Anne Inès Klopfenstein, Anne Rike Flint, Patrick Heeren, Mona Prendke, Amin Chaoui, Thomas Ocker, Jonas Chromik, Bert Arnrich, Felix Balzer, Akira-Sebastian Poncette

J Med Internet Res 2025 (May 05); 27:e65961

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Current Technological Advances in Dysphagia Screening: Systematic Scoping Review

Duo Wai-Chi Wong, Jiao Wang, Sophia Ming-Yan Cheung, Derek Ka-Hei Lai, Armstrong Tat-San Chiu, Dai Pu, James Chung-Wai Cheung, Timothy Chi-Yui Kwok

J Med Internet Res 2025 (May 05); 27:e65551

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The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis

Lan Xu, Zian Chen, Dan Zhu, Yingjun Wang

J Med Internet Res 2025 (May 05); 27:e69906

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Association Between Risk Factors and Major Cancers: Explainable Machine Learning Approach

Xiayuan Huang, Shushun Ren, Xinyue Mao, Sirui Chen, Elle Chen, Yuqi He, Yun Jiang

JMIR Cancer 2025 (May 02); 11:e62833

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Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Fagen Xie, Robert S Zeiger, Mary Marycania Saparudin, Sahar Al-Salman, Eric Puttock, William Crawford, Michael Schatz, Stanley Xu, William M Vollmer, Wansu Chen

JMIR AI 2025 (May 02); 4:e69132

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Development of a Predictive Model for Metabolic Syndrome Using Noninvasive Data and its Cardiovascular Disease Risk Assessments: Multicohort Validation Study

Jin-Hyun Park, Inyong Jeong, Gang-Jee Ko, Seogsong Jeong, Hwamin Lee

J Med Internet Res 2025 (May 02); 27:e67525

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Reasons for Crown Failures in Primary Teeth: Systematic Review and Meta-Analysis

Stephan Lampl, Deepa Gurunathan, Deepak Mehta, Krithikadatta Jogikalmat

Interact J Med Res 2025 (May 01); 14:e57958

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Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach

Mihyun Lim Waugh, Tyler Mills, Nicholas Boltin, Lauren Wolf, Patti Parker, Ronnie Horner, Thomas L Wheeler II, Richard L Goodwin, Melissa A Moss

JMIR Form Res 2025 (May 01); 9:e59631

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Multimodal Visualization and Explainable Machine Learning–Driven Markers Enable Early Identification and Prognosis Prediction for Symptomatic Aortic Stenosis and Heart Failure With Preserved Ejection Fraction After Transcatheter Aortic Valve Replacement: Multicenter Cohort Study

Jun Wang, Jiajun Zhu, Hui Li, Shili Wu, Siyang Li, Zhuoya Yao, Tongjian Zhu, Bi Tang, Shengxing Tang, Jinjun Liu

J Med Internet Res 2025 (May 01); 27:e70587

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New Performance Measurement Framework for Realizing Patient-Centered Clinical Decision Support: Qualitative Development Study

Prashila Dullabh, Courtney Zott, Nicole Gauthreaux, James Swiger, Edwin Lomotan, Dean F Sittig

J Med Internet Res 2025 (Apr 30); 27:e68674

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Toward Real-Time Discharge Volume Predictions in Multisite Health Care Systems: Longitudinal Observational Study

Fernando Acosta-Perez, Justin Boutilier, Gabriel Zayas-Caban, Sabrina Adelaine, Frank Liao, Brian Patterson

J Med Internet Res 2025 (Apr 30); 27:e63765

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