Artificial Intelligence Can Answer Postoperative Questions About Distal Radius Fractures-But Can Patients Understand the Answers?

ABSTRACT:

Purpose

The purpose of this study was to assess the validity, reliability, and readability of responses to common patient questions about postoperative from ChatGPT, Microsoft Copilot, and Google Gemini.

Methods

Twenty-seven thoroughly vetted questions regarding distal radius fractures repair surgery were compiled and entered into ChatGPT 4, Gemini, and Copilot. The responses were analyzed for quality, accuracy, and readability using the DISCERN scale, the Journal of the American Medical Association benchmark criteria, Flesch-Kincaid Reading Ease Score, and Flesch-Kincaid Grade Level. Citations provided by Google Gemini and Microsoft Copilot were further categorized by source of reference. Five questions were resubmitted, requesting response simplification. The responses wer

SUBMITTER: Tarapore R 

PROVIDER: S-EPMC12675809 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature