Comparison of ChatGPT to ophthalmology resident and staff consultants on an ophthalmological training tool.

Can J Ophthalmol

Department of Ophthalmology, Western University, London, ON; Clinical Neurological Sciences, Western University, London, ON.

Published: October 2023

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jcjo.2023.09.011DOI Listing

Publication Analysis

Top Keywords

comparison chatgpt
4
chatgpt ophthalmology
4
ophthalmology resident
4
resident staff
4
staff consultants
4
consultants ophthalmological
4
ophthalmological training
4
training tool
4
comparison
1
ophthalmology
1

Similar Publications

Artificial intelligence (AI) has emerged as a transformative tool in education, particularly in specialized fields such as dentistry. This study evaluated the performance of four advanced AI models - ChatGPT-4o (San Francisco, CA: OpenAI), ChatGPT-o1, Gemini 1.5 Pro (Mountain View, CA: Google LLC), and Gemini 2.

View Article and Find Full Text PDF

Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education.

BMC Med Educ

January 2025

Department of Urology, Xiangya Hospital, Central South University, Changsha, Hunan, 410000, China.

Introduction: Artificial intelligence technology has a wide range of application prospects in the field of medical education. The aim of the study was to measure the effectiveness of ChatGPT-assisted problem-based learning (PBL) teaching for urology medical interns in comparison with traditional teaching.

Methods: A cohort of urology interns was randomly assigned to two groups; one underwent ChatGPT-assisted PBL teaching, while the other received traditional teaching over a period of two weeks.

View Article and Find Full Text PDF

This is the first study to evaluate the adequacy and reliability of the ChatGPT and Gemini chatbots on viral hepatitis. A total of 176 questions were composed from three different categories. The first group includes "questions and answers (Q&As) for the public" determined by the Centers for Disease Control and Prevention (CDC).

View Article and Find Full Text PDF

To assess the predictive accuracy of advanced AI language models and established clinical scales in prognosticating outcomes for patients with aneurysmal subarachnoid hemorrhage (aSAH). This retrospective cohort study included 82 patients suffering from aSAH. We evaluated the predictive efficacy of AtlasGPT and ChatGPT 4.

View Article and Find Full Text PDF

Semantical text understanding holds significant importance in natural language processing (NLP). Numerous datasets, such as Quora Question Pairs (QQP), have been devised for this purpose. In our previous study, we developed a Siamese Convolutional Neural Network (S-CNN) that achieved an F1 score of 82.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!