1. Evaluating cognitive performance: Traditional methods vs. ChatGPT
- Author
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Xiao Fei, Ying Tang, Jianan Zhang, Zhongkai Zhou, Ikuo Yamamoto, and Yi Zhang
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
Background NLP models like ChatGPT promise to revolutionize text-based content delivery, particularly in medicine. Yet, doubts remain about ChatGPT's ability to reliably support evaluations of cognitive performance, warranting further investigation into its accuracy and comprehensiveness in this area. Method A cohort of 60 cognitively normal individuals and 30 stroke survivors underwent a comprehensive evaluation, covering memory, numerical processing, verbal fluency, and abstract thinking. Healthcare professionals and NLP models GPT-3.5 and GPT-4 conducted evaluations following established standards. Scores were compared, and efforts were made to refine scoring protocols and interaction methods to enhance ChatGPT's potential in these evaluations. Result Within the cohort of healthy participants, the utilization of GPT-3.5 revealed significant disparities in memory evaluation compared to both physician-led assessments and those conducted utilizing GPT-4 ( P
- Published
- 2024
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