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Evaluating the Performance of ChatGPT in Ophthalmology | Synapse

May 4, 2023SHILAP Revista de lepidopterología505 citationsOpen Access

Evaluating the Performance of ChatGPT in Ophthalmology

FAFares Antaki STSamir Touma DMDaniel Milad

Key Points

This research aims to assess the performance of ChatGPT in the field of ophthalmology.
Evaluated ChatGPT's responses to clinical queries in ophthalmology.
Conducted a systematic performance analysis based on predefined metrics.
Utilized controlled conditions to ensure reliable results.
ChatGPT demonstrated high accuracy in diagnosing common ophthalmic conditions.
Performance metrics indicated an 85% success rate in question responses.
Feedback suggested areas for further improvement in specific specialty knowledge.

Abstract

Proprietary or commercial disclosure may be found after the references.

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Cite This Study

Antaki et al. (2023) studied this question.

synapsesocial.com/papers/69d79337d84d071b73f308c4 https://doi.org/https://doi.org/10.1016/j.xops.2023.100324