Artificial Intelligence in Industry

AI in Health Care Service Quality: Systematic Review

Eman Alghareeb, Najla Aljehani

JMIR AI 2025 (Nov 05); 4:e69209

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Quantitative Assessment of Strabismus Using Cloud AI Computing: Validation Study

Junxian He, Jiawei Zhang, Zheng Wang, Shrinivas Pundlik, Rui Liu, Gang Luo

JMIR Form Res 2025 (Nov 04); 9:e79280

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Real-World Evidence Synthesis of Digital Scribes Using Ambient Listening and Generative Artificial Intelligence for Clinician Documentation Workflows: Rapid Review

Naga Sasidhar Kanaparthy, Yenny Villuendas-Rey, Tolulope Bakare, Zihan Diao, Mark Iscoe, Andrew Loza, Donald Wright, Conrad Safranek, Isaac V Faustino, Alexandria Brackett, Edward R Melnick, R Andrew Taylor

JMIR AI 2025 (Oct 10); 4:e76743

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Reinforcement Learning to Prevent Acute Care Events Among Medicaid Populations: Mixed Methods Study

Sanjay Basu, Bhairavi Muralidharan, Parth Sheth, Dan Wanek, John Morgan, Sadiq Patel

JMIR AI 2025 (Oct 08); 4:e74264

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Personalization of AI Using Personal Foundation Models Can Lead to More Precise Digital Therapeutics

Peter Washington

JMIR AI 2025 (Aug 21); 4:e55530

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Magnitude and Impact of Hallucinations in Tabular Synthetic Health Data on Prognostic Machine Learning Models: Validation Study

Lisa Pilgram, Samer El Kababji, Dan Liu, Khaled El Emam

J Med Internet Res 2025 (Aug 18); 27:e77893

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Striking a Balance: Innovation, Equity, and Consistency in AI Health Technologies

Eric Perakslis, Kimberly Nolen, Ethan Fricklas, Tracy Tubb

JMIR AI 2025 (Apr 07); 4:e57421

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Summer Research Internship Curriculum to Promote Self-Efficacy, Researcher Identity, and Peer-to-Peer Learning: Retrospective Cohort Study

Yulia A Levites Strekalova, Rachel Liu-Galvin, Samuel Border, Sara Midence, Mishal Khan, Maya VanZanten, John Tomaszewski, Sanjay Jain, Pinaki Sarder

JMIR Form Res 2025 (Feb 03); 9:e54167

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