ChatGPT and Gemini in warfarin counseling.

PubMed 2026

Authors: Muhammet Hüseyin Erkan, Ömer Faruk Rahman, Abdullah Güner, Fevzi Ayyıldız, Emin Barbarus
Cited by: 0

Abstract

AIM: To compare the accuracy, scientific adequacy, and clarity of responses provided by ChatGPT-4o and Gemini to frequently asked patients' questions about warfarin use. METHODS: Forty patients' questions were posed to ChatGPT and Gemini using the zero-shot method. Four cardiovascular surgeons evaluated the responses for adequacy, scientific accuracy, and clarity on a 5-point Likert scale. The first and second set of data evaluations were separated by seven days to minimize any memory effect. The experts were blinded to the type of LLM that created the response. RESULTS: ChatGPT responses were significantly shorter (187.3±47.6 vs 291.4±98.1 words; P

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare Machine Learning in Healthcare

Publication details

Journal / source
PubMed
Volume
66
Issue
6
Pages
399–405
Publication date
5 January 2026
Language
EN