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http://dx.doi.org/10.1111/jocn.16706 | DOI Listing |
Adv Orthop
January 2025
Orlando Health Jewett Orthopedic Institute, Orlando, Florida, USA.
Advances in artificial intelligence (AI), machine learning, and publicly accessible language model tools such as ChatGPT-3.5 continue to shape the landscape of modern medicine and patient education. ChatGPT's open access (OA), instant, human-sounding interface capable of carrying discussion on myriad topics makes it a potentially useful resource for patients seeking medical advice.
View Article and Find Full Text PDFUpdates Surg
January 2025
Alluri Sitarama Raju Academy of Medical Sciences, Eluru, India.
There is a growing importance for patients to easily access information regarding their medical conditions to improve their understanding and participation in health care decisions. Artificial Intelligence (AI) has proven as a fast, efficient, and effective tool in educating patients regarding their health care conditions. The aim of the study is to compare the responses provided by AI tools, ChatGPT and Google Gemini, to assess for conciseness and understandability of information provided for the medical conditions Deep vein thrombosis, decubitus ulcers, and hemorrhoids.
View Article and Find Full Text PDFTransplant Proc
January 2025
Department of Urology, Sun Yat-sen Memorial Hospital, Guangzhou, China. Electronic address:
This study evaluated the capability of three AI chatbots-ChatGPT 4.0, Claude 3.0, and Gemini Pro, as well as Google-in responding to common postkidney transplantation inquiries.
View Article and Find Full Text PDFMorphologie
January 2025
Department of Anatomy, School of Medicine, National and Kapodistrian University of Athens, Athens, Greece.
Purpose: We performed a scoping review to explore if ChatGPT, an artificial intelligence platform, can play a significant role in anatomy education.
Methods: PubMed, SCOPUS, ERIC and Cochrane databases were searched for articles which included anatomical questions asked to ChatGPT. From each article, we extracted the following data: authors, type of study (qualitative or quantitative), presence or not of comparison of ChatGPT with other platforms or humans, type of questions asked to ChatGPT and evaluation of the answers to these questions.
Eur Radiol Exp
January 2025
St Vincent's University Hospital, Dublin, Ireland.
Background: The large language model ChatGPT can now accept image input with the GPT4-vision (GPT4V) version. We aimed to compare the performance of GPT4V to pretrained U-Net and vision transformer (ViT) models for the identification of the progression of multiple sclerosis (MS) on magnetic resonance imaging (MRI).
Methods: Paired coregistered MR images with and without progression were provided as input to ChatGPT4V in a zero-shot experiment to identify radiologic progression.
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