Comparing ChatGPT-4 to BARD for Accuracy and Completeness of Responses to Questions Derived from the International Consensus Statement on Endoscopic Skull Base Surgery

Abstract

Introduction: Artificial intelligence (AI) language models, such as Chat Generative Pre-Trained Transformer 4 (GPT-4) by OpenAI and Bard by Google, have emerged in 2022 as tools for answering questions, providing information, and offering suggestions to the layperson. These programs are large language models trained on available data to synthesize responses. Chat GPT-4 and Bard have the potential to impact how information is disseminated to patients greatly; however, it is essential to understand how these answers compare to experts in the corresponding field. The International Consensus Statement on Endoscopic Skull Base Surgery 2019 (ICAR:SB) is an international multidisciplinary collaboration to critically evaluate and grade the current literature. The goal of this study is to assess the accuracy and completeness of GPT-4 and Bard generated responses to questions based on ICAR:SB guidelines.

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