Ontology highlight
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