Applications of AI

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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Comparing Artificial Intelligence–Generated and Clinician-Created Personalized Self-Management Guidance for Patients With Knee Osteoarthritis: Blinded Observational Study

Kai Du, Ao Li, Qi-Heng Zuo, Chen-Yu Zhang, Ren Guo, Ping Chen, Wei-Shuai Du, Shu-Ming Li

J Med Internet Res 2025 (May 07); 27:e67830

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Exploring Patient Participation in AI-Supported Health Care: Qualitative Study

Laura Arbelaez Ossa, Michael Rost, Nathalie Bont, Giorgia Lorenzini, David Shaw, Bernice Simone Elger

JMIR AI 2025 (May 05); 4:e50781

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Clinical Laboratory Parameter–Driven Machine Learning for Participant Selection in Bioequivalence Studies Among Patients With Gastric Cancer: Framework Development and Validation Study

Byungeun Shon, Sook Jin Seong, Eun Jung Choi, Mi-Ri Gwon, Hae Won Lee, Jaechan Park, Ho-Young Chung, Sungmoon Jeong, Young-Ran Yoon

JMIR AI 2025 (May 05); 4:e64845

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Identifying Asthma-Related Symptoms From Electronic Health Records Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study

Fagen Xie, Robert S Zeiger, Mary Marycania Saparudin, Sahar Al-Salman, Eric Puttock, William Crawford, Michael Schatz, Stanley Xu, William M Vollmer, Wansu Chen

JMIR AI 2025 (May 02); 4:e69132

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Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study

Alexander Brehmer, Constantin Seibold, Jan Egger, Khalid Majjouti, Michaela Tapp-Herrenbrück, Hannah Pinnekamp, Vanessa Priester, Michael Aleithe, Uli Fischer, Bernadette Hosters, Jens Kleesiek

JMIR AI 2025 (May 01); 4:e67356

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Using Segment Anything Model 2 for Zero-Shot 3D Segmentation of Abdominal Organs in Computed Tomography Scans to Adapt Video Tracking Capabilities for 3D Medical Imaging: Algorithm Development and Validation

Yosuke Yamagishi, Shouhei Hanaoka, Tomohiro Kikuchi, Takahiro Nakao, Yuta Nakamura, Yukihiro Nomura, Soichiro Miki, Takeharu Yoshikawa, Osamu Abe

JMIR AI 2025 (Apr 29); 4:e72109

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Advances in Infant Cry Paralinguistic Classification—Methods, Implementation, and Applications: Systematic Review

Geofrey Owino, Bernard Shibwabo

JMIR Rehabil Assist Technol 2025 (Apr 29); 12:e69457

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The Diagnostic Performance of Large Language Models and Oral Medicine Consultants for Identifying Oral Lesions in Text-Based Clinical Scenarios: Prospective Comparative Study

Sarah AlFarabi Ali, Hebah AlDehlawi, Ahoud Jazzar, Heba Ashi, Nihal Esam Abuzinadah, Mohammad AlOtaibi, Abdulrahman Algarni, Hazzaa Alqahtani, Sara Akeel, Soulafa Almazrooa

JMIR AI 2025 (Apr 24); 4:e70566

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