Performance of ChatGPT on Chinese Master’s Degree Entrance Examination in Clinical Medicine

• Published in: PloS one Vol. 19; no. 4; p. e0301702
• Main Authors: Li, Ke-Cheng, Bu, Zhi-Jun, Shahjalal, Md, He, Bai-Xiang, Zhuang, Zi-Fan, Li, Chen, Liu, Jian-Ping, Wang, Bin, Liu, Zhao-Lan
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 04.04.2024; Public Library of Science (PLoS)
• Subjects: Asian People; Biology and Life Sciences; Clinical Medicine; Computational linguistics; Computer and Information Sciences; Educational tests and measurements; Examinations; Humans; Language; Language processing; Medical colleges; Medicine; Medicine and Health Sciences; Medicine, Chinese; Methods; Natural language interfaces; Reproducibility of Results; Social Sciences; Study and teaching; China

ChatGPT is a large language model designed to generate responses based on a contextual understanding of user queries and requests. This study utilised the entrance examination for the Master of Clinical Medicine in Traditional Chinese Medicine to assesses the reliability and practicality of ChatGPT...