2025

Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study

Sang Won Bae, Tammy Chung, Tongze Zhang, Anind K Dey, Rahul Islam

JMIR AI 2025 (Jan 02); 4:e52270

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Urgency Prediction for Medical Laboratory Tests Through Optimal Sparse Decision Tree: Case Study With Echocardiograms

Yiqun Jiang, Qing Li, Yu-Li Huang, Wenli Zhang

JMIR AI 2025 (Jan 29); 4:e64188

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Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study

Ananya Choudhury, Leroy Volmer, Frank Martin, Rianne Fijten, Leonard Wee, Andre Dekker, Johan van Soest

JMIR AI 2025 (Feb 06); 4:e60847

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Predicting Satisfaction With Chat-Counseling at a 24/7 Chat Hotline for the Youth: Natural Language Processing Study

Silvan Hornstein, Ulrike Lueken, Richard Wundrack, Kevin Hilbert

JMIR AI 2025 (Feb 18); 4:e63701

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Evaluating ChatGPT’s Efficacy in Pediatric Pneumonia Detection From Chest X-Rays: Comparative Analysis of Specialized AI Models

Nitin Chetla, Mihir Tandon, Joseph Chang, Kunal Sukhija, Romil Patel, Ramon Sanchez

JMIR AI 2025 (Jan 10); 4:e67621

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Identification of Use Cases, Target Groups, and Motivations Around Adopting Smart Speakers for Health Care and Social Care Settings: Scoping Review

Sebastian Merkel, Sabrina Schorr

JMIR AI 2025 (Jan 13); 4:e55673

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Investigating the Classification of Living Kidney Donation Experiences on Reddit and Understanding the Sensitivity of ChatGPT to Prompt Engineering: Content Analysis

Joshua Nielsen, Xiaoyu Chen, LaShara Davis, Amy Waterman, Monica Gentili

JMIR AI 2025 (Feb 07); 4:e57319

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