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Dataset Information

Exploring the Potential of ChatGPT-4 in Predicting Refractive Surgery Categorizations: Comparative Study.


ABSTRACT:

Background

Refractive surgery research aims to optimally precategorize patients by their suitability for various types of surgery. Recent advances have led to the development of artificial intelligence-powered algorithms, including machine learning approaches, to assess risks and enhance workflow. Large language models (LLMs) like ChatGPT-4 (OpenAI LP) have emerged as potential general artificial intelligence tools that can assist across various disciplines, possibly including refractive surgery decision-making. However, their actual capabilities in precategorizing refractive surgery patients based on real-world parameters remain unexplored.

Objective

This exploratory study aimed to validate ChatGPT-4's capabilities in precategorizing refractive surgery patients based on com

SUBMITTER: Cirkovic A 

PROVIDER: S-EPMC10784977 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature