Evaluating the performance of five large language models in answering Delphi consensus questions relating to patellar instability and medial patellofemoral ligament reconstruction.

ABSTRACT:

Purpose

Artificial intelligence (AI) has become incredibly popular over the past several years, with large language models (LLMs) offering the possibility of revolutionizing the way healthcare information is shared with patients. However, to prevent the spread of misinformation, analyzing the accuracy of answers from these LLMs is essential. This study will aim to assess the accuracy of five freely accessible chatbots by specifically evaluating their responses to questions about patellofemoral instability (PFI). The secondary objective will be to compare the different chatbots, to distinguish which LLM offers the most accurate set of responses.

Methods

Ten questions were selected from a previously published international Delphi Consensus study pertaining to patellar instabil

SUBMITTER: Vivekanantha P 

PROVIDER: S-EPMC12581441 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature