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Optimizing ChatGPT-4's radiology performance with scale-invariant feature transform and advanced prompt engineering.
Clin Imaging
February 2025
VIT Bhopal University, Sehore, MP 466114, India. Electronic address:
Encouragement vs. liability: How prompt engineering influences ChatGPT-4's radiology exam performance.
Clin Imaging
November 2024
Department of Radiology, University of Massachusetts Chan Medical School, Worcester, MA, United States of America. Electronic address:
Large Language Models (LLM) like ChatGPT-4 hold significant promise in medical application, especially in the field of radiology. While previous studies have shown the promise of ChatGTP-4 in textual-based scenarios, its performance on image-based response remains suboptimal. This study investigates the impact of prompt engineering on ChatGPT-4's accuracy on the 2022 American College of Radiology In Training Test Questions for Diagnostic Radiology Residents that include textual and visual-based questions.
View Article and Find Full Text PDFGemini AI vs. ChatGPT: A comprehensive examination alongside ophthalmology residents in medical knowledge.
Graefes Arch Clin Exp Ophthalmol
September 2024
Department of Ophthalmology, Samson Assuta Ashdod Hospital, Ashdod, Israel.
Introduction: The rapid advancement of artificial intelligence (AI), particularly in large language models like ChatGPT and Google's Gemini AI, marks a transformative era in technological innovation. This study explores the potential of AI in ophthalmology, focusing on the capabilities of ChatGPT and Gemini AI. While these models hold promise for medical education and clinical support, their integration requires comprehensive evaluation.
View Article and Find Full Text PDFEducational Utility of Clinical Vignettes Generated in Japanese by ChatGPT-4: Mixed Methods Study.
JMIR Med Educ
August 2024
Department of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Article Synopsis
- This study evaluates the effectiveness of medical cases generated by ChatGPT-4 for educational purposes, focusing on their accuracy and quality in teaching contexts.
- A survey was conducted involving 71 physicians to assess key areas such as information quality, accuracy, usefulness, and relevance of these AI-generated clinical vignettes.
- The results indicated generally satisfactory ratings for the quality and accuracy of the information, though there were varying scores for educational usefulness and difficulty of the diagnoses.
Large Language Models for Intraoperative Decision Support in Plastic Surgery: A Comparison between ChatGPT-4 and Gemini.
Medicina (Kaunas)
June 2024
Division of Plastic Surgery, Mayo Clinic, 4500 San Pablo Rd S, Jacksonville, FL 32224, USA.
Large language models (LLMs) are emerging as valuable tools in plastic surgery, potentially reducing surgeons' cognitive loads and improving patients' outcomes. This study aimed to assess and compare the current state of the two most common and readily available LLMs, Open AI's ChatGPT-4 and Google's Gemini Pro (1.0 Pro), in providing intraoperative decision support in plastic and reconstructive surgery procedures.
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