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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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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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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Leveraging Medical Knowledge Graphs Into Large Language Models for Diagnosis Prediction: Design and Application Study

Yanjun Gao, Ruizhe Li, Emma Croxford, John Caskey, Brian W Patterson, Matthew Churpek, Timothy Miller, Dmitriy Dligach, Majid Afshar

JMIR AI 2025 (Feb 24); 4:e58670

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GPT-4 as a Clinical Decision Support Tool in Ischemic Stroke Management: Evaluation Study

Amit Haim Shmilovitch, Mark Katson, Michal Cohen-Shelly, Shlomi Peretz, Dvir Aran, Shahar Shelly

JMIR AI 2025 (Mar 07); 4:e60391

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Evaluation of ChatGPT Performance on Emergency Medicine Board Examination Questions: Observational Study

Mila Pastrak, Sten Kajitani, Anthony James Goodings, Austin Drewek, Andrew LaFree, Adrian Murphy

JMIR AI 2025 (Mar 12); 4:e67696

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Creation of Scientific Response Documents for Addressing Product Medical Information Inquiries: Mixed Method Approach Using Artificial Intelligence

Jerry Lau, Shivani Bisht, Robert Horton, Annamaria Crisan, John Jones, Sandeep Gantotti, Evelyn Hermes-DeSantis

JMIR AI 2025 (Mar 13); 4:e55277

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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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Survey on Pain Detection Using Machine Learning Models: Narrative Review

Ruijie Fang, Elahe Hosseini, Ruoyu Zhang, Chongzhou Fang, Setareh Rafatirad, Houman Homayoun

JMIR AI 2025 (Feb 24); 4:e53026

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Studying the Potential Effects of Artificial Intelligence on Physician Autonomy: Scoping Review

John Grosser, Juliane Düvel, Lena Hasemann, Emilia Schneider, Wolfgang Greiner

JMIR AI 2025 (Mar 13); 4:e59295

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Deep Learning Models to Predict Diagnostic and Billing Codes Following Visits to a Family Medicine Practice: Development and Validation Study

Akshay Rajaram, Michael Judd, David Barber

JMIR AI 2025 (Mar 07); 4:e64279

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Improving the Robustness and Clinical Applicability of Automatic Respiratory Sound Classification Using Deep Learning–Based Audio Enhancement: Algorithm Development and Validation

Jing-Tong Tzeng, Jeng-Lin Li, Huan-Yu Chen, Chu-Hsiang Huang, Chi-Hsin Chen, Cheng-Yi Fan, Edward Pei-Chuan Huang, Chi-Chun Lee

JMIR AI 2025 (Mar 13); 4:e67239

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Using AI to Translate and Simplify Spanish Orthopedic Medical Text: Instrument Validation Study

Saman Andalib, Aidin Spina, Bryce Picton, Sean S Solomon, John A Scolaro, Ariana M Nelson

JMIR AI 2025 (Mar 21); 4:e70222

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Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and Validation

Scott A Helgeson, Zachary S Quicksall, Patrick W Johnson, Kaiser G Lim, Rickey E Carter, Augustine S Lee

JMIR AI 2025 (Mar 24); 4:e65456

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Utility-based Analysis of Statistical Approaches and Deep Learning Models for Synthetic Data Generation With Focus on Correlation Structures: Algorithm Development and Validation

Marko Miletic, Murat Sariyar

JMIR AI 2025 (Mar 20); 4:e65729

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