Artificial intelligence in anesthesia: comparison of the utility of ChatGPT v/s google gemini large language models in pre-anesthetic education: content, readability and sentiment analysis.

ABSTRACT:

Background

Large Language Models (LLMs) such as ChatGPT and Google Gemini are increasingly explored for their potential in patient education, particularly in the perioperative setting. As text-based tools trained on extensive datasets, they can generate detailed responses to common medical queries. However, their utility in delivering reliable, understandable, and emotionally appropriate preanesthetic information remains unclear.

Methods

We conducted a prospective observational study comparing ChatGPT and Google Gemini in generating educational content for patients undergoing laparoscopic cholecystectomy. From 68 patient questions submitted by anesthesiologists, 13 high-relevance items were selected. Responses from both models were independently rated by 20 anesthesiologists

SUBMITTER: Sharma P 

PROVIDER: S-EPMC12628519 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature