Evaluating the Performance of ChatGPT in Ophthalmology-Reference-Cited by-同舟云学术

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Evaluating the Performance of ChatGPT in Ophthalmology

Published:2023-12 Issue:4 Volume:3 Page:100324
ISSN:2666-9145
Container-title:Ophthalmology Science
language:en
Short-container-title:Ophthalmology Science

Author:

Antaki Fares^ORCID,Touma Samir,Milad Daniel,El-Khoury Jonathan,Duval Renaud

Publisher

Elsevier BV

Subject

Ophthalmology

Reference25 articles.

1. Artificial intelligence and deep learning in ophthalmology;Ting;Br J Ophthalmol,2019

2. Artificial intelligence in retina;Schmidt-Erfurth;Prog Retin Eye Res,2018

3. Accuracy of automated machine learning in classifying retinal pathologies from ultra-widefield pseudocolour fundus images;Antaki;Br J Ophthalmol,2023

4. New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology;Nath;Br J Ophthalmol,2022

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4. Unveiling the risks of ChatGPT in diagnostic surgical pathologyChatGPT;Virchows Archiv;2024-09-13

5. Evaluation of the accuracy and readability of ChatGPT-4 and Google Gemini in providing information on retinal detachment: a multicenter expert comparative study;International Journal of Retina and Vitreous;2024-09-02

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