Microsoft Copilot Provides More Accurate and Reliable Information About Anterior Cruciate Ligament Injury and Repair Than ChatGPT and Google Gemini; However, No Resource Was Overall the Best.

ABSTRACT:

Purpose

To analyze and compare the quality, accuracy, and readability of information regarding anterior cruciate ligament (ACL) injury and reconstruction provided by various artificial intelligence AI interfaces (Google Gemini, Microsoft Copilot, and OpenAI ChatGPT).

Methods

Twenty questions regarding ACL reconstruction were inputted into ChatGPT 3.5, Gemini, and the more precise subinterface within Copilot and were categorized on the basis of the Rothwell criteria into Fact, Policy, and Value. The answers generated were analyzed using the DISCERN scale, JAMA benchmark criteria, and Flesch-Kincaid Reading Ease Score and Grade Level. The citations provided by Gemini and Copilot were further categorized by source of citation.

Results

All 3 AI interfaces generated DISCER

SUBMITTER: Gupta S 

PROVIDER: S-EPMC12034078 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature