语句(逻辑)
完备性(序理论)
颅骨
基础(拓扑)
计算机科学
人工智能
医学
外科
数学
政治学
法学
数学分析
作者
Yavar Abgin,Kayla K. Umemoto,Sean P. Polster,Arthur W. Wu,Andrew Goulian,Christopher R. Roxbury,Omar G. Ahmed,Pranay Soni,Dennis M. Tang
出处
期刊:Journal of neurological surgery
[Thieme Medical Publishers (Germany)]
日期:2024-02-01
标识
DOI:10.1055/s-0044-1780077
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI