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JMIR AI

Showing results (11-20 of 330) with videos related to

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JMIR AI|August 25, 2025
Heterogeneity in Effects of Automated Results Feedback After Online Depression Screening: Secondary Machine-Learning Based Analysis of the DISCOVER TrialMatthias Klee, Byron C Jaeger, Franziska Sikorski, et al.
JMIR AI|December 19, 2025
Predicting the Emergency Department Patient Journey Using a Machine Learning ApproachJoshua George Kovoor, Gavin John Carmichael, Brandon Stretton, et al.
JMIR AI|November 18, 2025
Detection of Medical Misinformation in Hemangioma Patient Education: Comparative Study of ChatGPT-4o and DeepSeek-R1 Large Language ModelsGuoyong Wang, Ye Zhang, Weixin Wang, et al.
JMIR AI|January 6, 2026
Performance of a Small Language Model Versus a Large Language Model in Answering Glaucoma Frequently Asked Patient Questions: Development and Usability StudyAdriano Cypriano Faneli, Rafael Scherer, Rohit Muralidhar, et al.
JMIR AI|October 27, 2025
AI Awareness and Tobacco Policy Messaging Among US Adults: Electronic Experimental StudyJulia Mary Alber, David Askay, Anuraj Dhillon, et al.
JMIR AI|October 31, 2025
Predetermined Change Control Plans: Guiding Principles for Advancing Safe, Effective, and High-Quality AI-ML TechnologiesEduardo Carvalho, Miguel Mascarenhas, Francisca Pinheiro, et al.
JMIR AI|October 8, 2025
Reinforcement Learning to Prevent Acute Care Events Among Medicaid Populations: Mixed Methods StudySanjay Basu, Bhairavi Muralidharan, Parth Sheth, et al.
JMIR AI|July 3, 2025
Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational StudyMahmudur Rahman, Jifan Gao, Kyle A Carey, et al.
JMIR AI|July 3, 2025
Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and ValidationScott A Helgeson, Zachary S Quicksall, Patrick W Johnson, et al.
JMIR AI|July 3, 2025
Limitations of Binary Classification for Long-Horizon Diagnosis Prediction and Advantages of a Discrete-Time Time-to-Event Approach: Empirical AnalysisDe Rong Loh, Elliot D Hill, Nan Liu, et al.
Pageof 33

Showing results (11-20 of 330) with videos related to

Sort By:
Pageof 33
JMIR AI|August 25, 2025
Heterogeneity in Effects of Automated Results Feedback After Online Depression Screening: Secondary Machine-Learning Based Analysis of the DISCOVER TrialMatthias Klee, Byron C Jaeger, Franziska Sikorski, et al.
JMIR AI|December 19, 2025
Predicting the Emergency Department Patient Journey Using a Machine Learning ApproachJoshua George Kovoor, Gavin John Carmichael, Brandon Stretton, et al.
JMIR AI|November 18, 2025
Detection of Medical Misinformation in Hemangioma Patient Education: Comparative Study of ChatGPT-4o and DeepSeek-R1 Large Language ModelsGuoyong Wang, Ye Zhang, Weixin Wang, et al.
JMIR AI|January 6, 2026
Performance of a Small Language Model Versus a Large Language Model in Answering Glaucoma Frequently Asked Patient Questions: Development and Usability StudyAdriano Cypriano Faneli, Rafael Scherer, Rohit Muralidhar, et al.
JMIR AI|October 27, 2025
AI Awareness and Tobacco Policy Messaging Among US Adults: Electronic Experimental StudyJulia Mary Alber, David Askay, Anuraj Dhillon, et al.
JMIR AI|October 31, 2025
Predetermined Change Control Plans: Guiding Principles for Advancing Safe, Effective, and High-Quality AI-ML TechnologiesEduardo Carvalho, Miguel Mascarenhas, Francisca Pinheiro, et al.
JMIR AI|October 8, 2025
Reinforcement Learning to Prevent Acute Care Events Among Medicaid Populations: Mixed Methods StudySanjay Basu, Bhairavi Muralidharan, Parth Sheth, et al.
JMIR AI|July 3, 2025
Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational StudyMahmudur Rahman, Jifan Gao, Kyle A Carey, et al.
JMIR AI|July 3, 2025
Estimation of Static Lung Volumes and Capacities From Spirometry Using Machine Learning: Algorithm Development and ValidationScott A Helgeson, Zachary S Quicksall, Patrick W Johnson, et al.
JMIR AI|July 3, 2025
Limitations of Binary Classification for Long-Horizon Diagnosis Prediction and Advantages of a Discrete-Time Time-to-Event Approach: Empirical AnalysisDe Rong Loh, Elliot D Hill, Nan Liu, et al.
Pageof 33