Applications of AI

Evaluating a Large Language Model’s Ability to Synthesize a Health Science Master’s Thesis: Case Study

Pål Joranger, Sara Rivenes Lafontan, Asgeir Brevik

JMIR Form Res 2025 (Jul 03); 9:e73248

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Leveraging Large Language Models for Accurate Retrieval of Patient Information From Medical Reports: Systematic Evaluation Study

Angel Manuel Garcia-Carmona, Maria-Lorena Prieto, Enrique Puertas, Juan-Jose Beunza

JMIR AI 2025 (Jul 03); 4:e68776

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Facial Emotion Recognition of 16 Distinct Emotions From Smartphone Videos: Comparative Study of Machine Learning and Human Performance

Marie Keinert, Simon Pistrosch, Adria Mallol-Ragolta, Björn W Schuller, Matthias Berking

J Med Internet Res 2025 (Jul 02); 27:e68942

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Enhancing Magnetic Resonance Imaging (MRI) Report Comprehension in Spinal Trauma: Readability Analysis of AI-Generated Explanations for Thoracolumbar Fractures

David C Sing, Kishan S Shah, Michael Pompliano, Paul H Yi, Calogero Velluto, Ali Bagheri, Robert K Eastlack, Stephen R Stephan, Gregory M Mundis Jr

JMIR AI 2025 (Jul 01); 4:e69654

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Identifying New Risk Associations Between Chronic Physical Illness and Mental Health Disorders in China: Machine Learning Approach to a Retrospective Population Analysis

Lizhong Liang, Tianci Liu, William Ollier, Yonghong Peng, Yao Lu, Chao Che

JMIR AI 2025 (Jun 30); 4:e72599

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ChatGPT-4–Driven Liver Ultrasound Radiomics Analysis: Diagnostic Value and Drawbacks in a Comparative Study

Laith R Sultan, Shyam Sunder B Venkatakrishna, Sudha A Anupindi, Savvas Andronikou, Michael R Acord, Hansel J Otero, Kassa Darge, Chandra M Sehgal, John H Holmes

JMIR AI 2025 (Jun 30); 4:e68144

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Extracting Knowledge From Scientific Texts on Patient-Derived Cancer Models Using Large Language Models: Algorithm Development and Validation Study

Jiarui Yao, Zinaida Perova, Tushar Mandloi, Elizabeth Lewis, Helen Parkinson, Guergana Savova

JMIR Bioinform Biotech 2025 (Jun 30); 6:e70706

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Generative AI in Medicine: Pioneering Progress or Perpetuating Historical Inaccuracies? Cross-Sectional Study Evaluating Implicit Bias

Philip Sutera, Rohini Bhatia, Timothy Lin, Leslie Chang, Andrea Brown, Reshma Jagsi

JMIR AI 2025 (Jun 24); 4:e56891

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AI in Medical Questionnaires: Innovations, Diagnosis, and Implications

Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

J Med Internet Res 2025 (Jun 23); 27:e72398

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Digital Phenotyping for Detecting Depression Severity in a Large Payor-Provider System: Retrospective Study of Speech and Language Model Performance

Bradley Karlin, Doug Henry, Ryan Anderson, Salvatore Cieri, Michael Aratow, Elizabeth Shriberg, Michelle Hoy

JMIR AI 2025 (Jun 19); 4:e69149

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Supervised Natural Language Processing Classification of Violent Death Narratives: Development and Assessment of a Compact Large Language Model

Susan T Parker

JMIR AI 2025 (Jun 19); 4:e68212

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Insights Into the Current and Future State of AI Adoption Within Health Systems in Southeast Asia: Cross-Sectional Qualitative Study

Mochammad Fadjar Wibowo, Alexandra Pyle, Emma Lim, Joshua W Ohde, Nan Liu, Jonas Karlström

J Med Internet Res 2025 (Jun 16); 27:e71591

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AI-Powered Drug Classification and Indication Mapping for Pharmacoepidemiologic Studies: Prompt Development and Validation

Benjamin Ogorek, Thomas Rhoads, Eric Finkelman, Isaac R Rodriguez-Chavez

JMIR AI 2025 (Jun 12); 4:e65481

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High-Throughput Phenotyping of the Symptoms of Alzheimer Disease and Related Dementias Using Large Language Models: Cross-Sectional Study

You Cheng, Mrunal Malekar, Yingnan He, Apoorva Bommareddy, Colin Magdamo, Arjun Singh, Brandon Westover, Shibani S Mukerji, John Dickson, Sudeshna Das

JMIR AI 2025 (Jun 03); 4:e66926

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Beyond Benchmarks: Evaluating Generalist Medical Artificial Intelligence With Psychometrics

Luning Sun, Christopher Gibbons, José Hernández-Orallo, Xiting Wang, Liming Jiang, David Stillwell, Fang Luo, Xing Xie

J Med Internet Res 2025 (May 26); 27:e70901

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Clinician Attitudes and Perceptions of Point-of-Care Information Resources and Their Integration Into Electronic Health Records: Qualitative Interview Study

Marlika Marceau, Sevan Dulgarian, Jacob Cambre, Pamela M Garabedian, Mary G Amato, Diane L Seger, Lynn A Volk, Gretchen Purcell Jackson, David W Bates, Ronen Rozenblum, Ania Syrowatka

JMIR Med Inform 2025 (May 26); 13:e60191

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Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Jingchao Lei, Jia Zhai, Yao Zhang, Jing Qi, Chuanzheng Sun

J Med Internet Res 2025 (May 26); 27:e66733

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Performance of 3 Conversational Generative Artificial Intelligence Models for Computing Maximum Safe Doses of Local Anesthetics: Comparative Analysis

Mélanie Suppan, Pietro Elias Fubini, Alexandra Stefani, Mia Gisselbaek, Caroline Flora Samer, Georges Louis Savoldelli

JMIR AI 2025 (May 13); 4:e66796

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The Elastic Electronic Health Record: A Five-Tiered Framework for Applying Artificial Intelligence to Electronic Health Record Maintenance, Configuration, and Use

Colby Uptegraft, Kameron Collin Black, Jonathan Gale, Andrew Marshall, Shuhan He

JMIR AI 2025 (May 09); 4:e66741

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Comparative Performance of Medical Students, ChatGPT-3.5 and ChatGPT-4.0 in Answering Questions From a Brazilian National Medical Exam: Cross-Sectional Questionnaire Study

Mateus Rodrigues Alessi, Heitor Augusto Gomes, Gabriel Oliveira, Matheus Lopes de Castro, Fabiano Grenteski, Leticia Miyashiro, Camila do Valle, Leticia Tozzini Tavares da Silva, Cristina Okamoto

JMIR AI 2025 (May 08); 4:e66552

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