Accuracy and Completeness of Bard and Chat-GPT 4 Responses for Questions Derived from the International Consensus Statement on Endoscopic Skull-Base Surgery 2019.

ABSTRACT: Artificial intelligence large language models (LLMs), such as Chat Generative Pre-Trained Transformer 4 (Chat-GPT) by OpenAI and Bard by Google, emerged in 2022 as tools for answering questions, providing information, and offering suggestions to the layperson. These LLMs impact how information is disseminated and it is essential to compare their answers to experts in the corresponding field. The International Consensus Statement on Endoscopic Skull-Base Surgery 2019 (ICAR:SB) is a multidisciplinary international collaboration that critically evaluated and graded the current literature.

Objectives

Evaluate the accuracy and completeness of Chat-GPT and Bard responses to questions derived from the ICAR:SB policy statements.

Design

Thirty-four questions were created based on ICAR

SUBMITTER: Abgin Y 

PROVIDER: S-EPMC12552044 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature