Applications of AI

Leveraging Large Language Models and Machine Learning for Success Analysis in Robust Cancer Crowdfunding Predictions: Quantitative Study

Runa Bhaumik, Abhishikta Roy, Vineet Srivastava, Lokesh Boggavarapu, Ranganathan Chandrasekaran, Edward K Mensah, John Galvin

JMIR AI 2025 (Nov 19); 4:e73448

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Detection of Medical Misinformation in Hemangioma Patient Education: Comparative Study of ChatGPT-4o and DeepSeek-R1 Large Language Models

Guoyong Wang, Ye Zhang, Weixin Wang, Yingjie Zhu, Wei Lu, Chaonan Wang, Hui Bi, Xiaonan Yang

JMIR AI 2025 (Nov 18); 4:e76372

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Standardizing and Scaffolding Health Care AI-Chatbot Evaluation: Systematic Review

Yining Hua, Winna Xia, David Bates, George Luke Hartstein, Hyungjin Tom Kim, Michael Li, Benjamin W Nelson, Charles Stromeyer IV, Darlene King, Jina Suh, Li Zhou, John Torous

JMIR AI 2025 (Nov 07); 4:e69006

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Predicting Postoperative Stress Urinary Incontinence After Prolapse Surgery via Machine Learning and Regression Models: Development and Validation Study

Minna Su, Shuyu Wang, Xiaochun Liu

JMIR Med Inform 2025 (Nov 03); 13:e76021

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Implementation, Experiences, Impact, and Costs of Artificial Intelligence in Chest Diagnostics: Protocol for a Mixed Methods Evaluation

Angus I G Ramsay, Chris Sherlaw-Johnson, Kevin Herbert, Stuti Bagri, Malina Bodea, Nadia Crellin, Holly Elphinstone, Amanda Halliday, Nina Hemmings, Rachel Lawrence, Cyril Lobont, Pei Li Ng, Joanne Lloyd, Efthalia Massou, Raj Mehta, Stephen Morris, Jenny Shand, Holly Walton, Naomi J Fulop

JMIR Res Protoc 2025 (Oct 31); 14:e81421

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ETHICS of AI Adoption and Deployment in Health Care: Progress, Challenges, and Next Steps

Obinna O Oleribe, Andrew W Taylor-Robinson, Christian C Chimezie, Simon D Taylor-Robinson

JMIR AI 2025 (Oct 30); 4:e67626

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Evaluating the Reliability and Accuracy of an AI-Powered Search Engine in Providing Responses on Dietary Supplements: Quantitative and Qualitative Evaluation

Mingxin Liu, Tsuyoshi Okuhara, Ritsuko Shirabe, Yuriko Nishiie, Yinghan Xu, Hiroko Okada, Takahiro Kiuchi

JMIR AI 2025 (Oct 29); 4:e78436

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AI Awareness and Tobacco Policy Messaging Among US Adults: Electronic Experimental Study

Julia Mary Alber, David Askay, Anuraj Dhillon, Lauren Sandoval, Sofia Ramos, Katharine Santilena

JMIR AI 2025 (Oct 27); 4:e72987

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Preprocessing Large-Scale Conversational Datasets: A Framework and Its Application to Behavioral Health Transcripts

Paz Mor Naim, Shiri Sadeh-Sharvit, Samuel Jefroykin, Eddie Silber, Dennis P Morrison, Ariel Goldstein

JMIR Form Res 2025 (Oct 24); 9:e78082

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Development and Evaluation of a Retrieval-Augmented Generation Chatbot for Orthopedic and Trauma Surgery Patient Education: Mixed-Methods Study

David Baur, Jörg Ansorg, Christoph-Eckhard Heyde, Anna Voelker

JMIR AI 2025 (Oct 23); 4:e75262

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Assessing Large Language Models in Building a Structured Dataset From AskDocs Subreddit Data: Methodological Study

Quinn Snell, Chase Westhoff, John Westhoff, Ethan Low, Carl L Hanson, E Shannon Neeley Tass

J Med Internet Res 2025 (Oct 22); 27:e74094

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Improving Large Language Model Applications in the Medical and Nursing Domains With Retrieval-Augmented Generation: Scoping Review

Yiqun Miao, Yuhan Zhao, Yuan Luo, Huiying Wang, Ying Wu

J Med Internet Res 2025 (Oct 21); 27:e80557

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Large Language Models for Automating Clinical Trial Criteria Conversion to Observational Medical Outcomes Partnership Common Data Model Queries: Validation and Evaluation Study

Kye Hwa Lee, Sujung Jang, Grace Juyun Kim, Sukyoung Park, Doeun Kim, Oh Jin Kwon, Jae-Ho Lee, Young-Hak Kim

JMIR Med Inform 2025 (Oct 16); 13:e71252

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Evaluating Large Language Models for Sentiment Analysis and Hesitancy Analysis on Vaccine Posts From Social Media: Qualitative Study

Augustine Annan, Amanda L Eiden, Dong Wang, Jingcheng Du, Majid Rastegar-Mojarad, Varun Kumar Nomula, Xiaoyan Wang

JMIR Form Res 2025 (Oct 15); 9:e64723

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Representation of Medical Concepts in Emojis Using Medical Subject Headings to Identify Gaps and Opportunities: Cross-Sectional Analysis

Shuhan He, Boyu Peng, Suhanee Mitragotri, Ahmad Hassan, Abdel Badih el Ariss, Margarita Monge, Norawit Kijpaisalratana

JMIR Form Res 2025 (Oct 14); 9:e70130

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Deep Learning Models to Screen Electronic Health Records for Breast and Colorectal Cancer Progression: Performance Evaluation Study

Pascal Lambert, Rayyan Khan, Marshall Pitz, Harminder Singh, Helen Chen, Kathleen Decker

JMIR AI 2025 (Oct 13); 4:e63767

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Evaluation of Machine Learning Model Performance in Diabetic Foot Ulcer: Retrospective Cohort Study

Veerle Y van Velze, Hendrico L Burger, Tim J van der Steenhoven, Hani Al-Ers, Lauren N Goncalves, Daniël Eefting, Willem-Jan J de Jong, Harm J Smeets, Janna C Specken Welleweerd, Joost R van der Vorst, Sandy Uchtmann, Robert Rissmann, Jaap F Hamming, Lampros Stergioulas, Koen EA van der Bogt

JMIR Med Inform 2025 (Oct 10); 13:e71994

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Use of Automated Machine Learning to Detect Undiagnosed Diabetes in US Adults: Development and Validation Study

Jianxiu Liu, Fred Ssewamala, Ruopeng An, Mengmeng Ji

JMIR AI 2025 (Oct 08); 4:e68260

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Taxonomy Portraits: Deciphering the Hierarchical Relationships of Medical Large Language Models

Radha Nagarajan, Vanessa Klotzman, Midori Kondo, Sandip Godambe, Adam Gold, John Henderson, Steven Martel

JMIR Med Inform 2025 (Oct 07); 13:e72918

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Assessing the Capability of Large Language Models for Navigation of the Australian Health Care System: Comparative Study

Joshua Simmich, Megan Heather Ross, Trevor Glen Russell

JMIR AI 2025 (Oct 07); 4:e76203

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