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http://dx.doi.org/10.1038/s41433-023-02760-0 | DOI Listing |
Arch Osteoporos
September 2025
Department of Family Medicine, Chang-Gung Memorial Hospital, Linkou Branch, Taoyuan City, Taiwan.
Unlabelled: The study assesses the performance of AI models in evaluating postmenopausal osteoporosis. We found that ChatGPT-4o produced the most appropriate responses, highlighting the potential of AI to enhance clinical decision-making and improve patient care in osteoporosis management.
Purpose: The rise of artificial intelligence (AI) offers the potential for assisting clinical decisions.
PLoS One
September 2025
Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Australia.
Objective: To determine accuracy and efficiency of using generative artificial intelligence (GenAI) to undertake thematic analysis.
Introduction: With the increasing use of GenAI in data analysis, testing the reliability and suitability of using GenAI to conduct qualitative data analysis is needed. We propose a method for researchers to assess reliability of GenAI outputs using deidentified qualitative datasets.
Cureus
July 2025
Department of Ophthalmology, University of Health Sciences, Istanbul Training and Research Hospital, Istanbul, TUR.
Purpose This study evaluates the performance of ChatGPT and Google Gemini in addressing refractive surgery-related patient questions by analysing the accuracy, completeness, and readability of their responses. Methods A total of 40 refractive surgery-related questions were compiled and categorized into three levels of difficulty: easy, medium, and hard. Responses from ChatGPT and Google Gemini were blinded and evaluated by two experienced ophthalmologists using standardized criteria.
View Article and Find Full Text PDFBMC Emerg Med
September 2025
Department of Emergency Medicine, Korea University Ansan Hospital, Ansan-si, 15355, Republic of Korea.
Background: Timely and accurate triage is crucial for the emergency department (ED) care. Recently, there has been growing interest in applying large language models (LLMs) to support triage decision-making. However, most existing studies have evaluated these models using simulated scenarios rather than real-world clinical cases.
View Article and Find Full Text PDFJ Pediatr Orthop B
August 2025
Department of Orthopaedics, Washington University School of Medicine, St. Louis, Missouri, USA.
This study evaluates Chat Generative Pre-Trained Transformer 4o's (ChatGPT-4o's) utility in clinical relevance and accuracy compared with Google for pediatric clubfoot treatment questions. Both were queried for the 15 most frequently asked questions related to pediatric clubfoot treatment, with Google as control. Questions were classified using the modified Rothwell criteria for online sources.
View Article and Find Full Text PDF