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Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health

Martin C Were, Ang Li, Bradley A Malin, Zhijun Yin, Joseph R Coco, Benjamin X Collins, Ellen Wright Clayton, Laurie L Novak, Rachele Hendricks-Sturrup, Abiodun O Oluyomi, Shilo Anders, Chao Yan

J Med Internet Res 2025;27:e73996

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Effectiveness of Radiomics-Based Machine Learning Models in Differentiating Pancreatitis and Pancreatic Ductal Adenocarcinoma: Systematic Review and Meta-Analysis

Lechang Zhang, Dewei Li, Tong Su, Tong Xiao, Shulei Zhao

J Med Internet Res 2025;27:e72420

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Evaluating the Performance of State-of-the-Art Artificial Intelligence Chatbots Based on the WHO Global Guidelines for the Prevention of Surgical Site Infection: Cross-Sectional Study

Tianyi Wang, Ruiyuan Chen, Baodong Wang, Congying Zou, Ning Fan, Shuo Yuan, Aobo Wang, Yu Xi, Lei Zang

J Med Internet Res 2025;27:e75567

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Use of a Medical Communication Framework to Assess the Quality of Generative Artificial Intelligence Replies to Primary Care Patient Portal Messages: Content Analysis

Natalie S Lee, Nathan Richards, Jodi Grandominico, Robert M Cronin, Amanda K Hendricks, Ravi S Tripathi, Daniel E Jonas

JMIR Form Res 2025;9:e71966

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Large Language Model Symptom Identification From Clinical Text: Multicenter Study

Andrew J McMurry, Dylan Phelan, Brian E Dixon, Alon Geva, Daniel Gottlieb, James R Jones, Michael Terry, David E Taylor, Hannah Callaway, Sneha Manoharan, Timothy Miller, Karen L Olson, Kenneth D Mandl

J Med Internet Res 2025;27:e72984

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Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review

Louis Agha-Mir-Salim, Isabelle Rose Alberto, Nicole Rose Alberto, Leo Anthony Celi, Pia Gabrielle Alfonso, Rachel Hicklen, Katelyn Legaspi, Rajiv Hans Menghrajani, Faye Yu Ng, Patricia Therese Pile, Christopher M Sauer

J Med Internet Res 2025;27:e70358

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Automating Colon Polyp Classification in Digital Pathology by Evaluation of a “Machine Learning as a Service” AI Model: Algorithm Development and Validation Study

David Beyer, Evan Delancey, Logan McLeod

JMIR Form Res 2025;9:e67457

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Correction: Prediction of Percutaneous Coronary Intervention Success in Patients With Moderate to Severe Coronary Artery Calcification Using Machine Learning Based on Coronary Angiography: Prospective Cohort Study

Zixiang Ye, Zhangyu Lin, Enmin Xie, Chenxi Song, Rui Zhang, Hao-Yu Wang, Shanshan Shi, Lei Feng, Kefei Dou

J Med Internet Res 2025;27:e80773

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Predicting Engagement With Conversational Agents in Mental Health Therapy by Examining the Role of Epistemic Trust, Personality, and Fear of Intimacy: Cross-Sectional Web-Based Survey Study

Fanny Guglielmucci, Daniela Di Basilio

JMIR Hum Factors 2025;12:e70698

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Role of Artificial Intelligence in Surgical Training by Assessing GPT-4 and GPT-4o on the Japan Surgical Board Examination With Text-Only and Image-Accompanied Questions: Performance Evaluation Study

Hiroki Maruyama, Yoshitaka Toyama, Kentaro Takanami, Kei Takase, Takashi Kamei

JMIR Med Educ 2025;11:e69313

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