Performance of large language model artificial intelligence on dermatology board exam questions

被引：3
|
作者：
Park, Lily [1 ,2 ]
Ehlert, Brittany [3 ]
Susla, Lyudmyla [4 ]
Lum, Zachary C. [2 ]
Lee, Patrick K. [5 ]
机构：
[1] Larkin Community Hosp, Dept Dermatol, South Miami, FL 33143 USA
[2] Nova Southeastern Univ, Sch Osteopath Med, Davie, FL 33328 USA
[3] Ohio Univ, Heritage Coll Osteopath Med, Cleveland, OH USA
[4] New York Inst Technol, Coll Osteopath Med, Old Westbury, NY USA
[5] Univ Calif Irvine, Dept Dermatol, Irvine, CA USA
来源：
CLINICAL AND EXPERIMENTAL DERMATOLOGY | 2023年 / 49卷 / 07期
关键词：
D O I：
10.1093/ced/llad355
中图分类号：
R75 [皮肤病学与性病学];
学科分类号：
100206 ;
摘要：
Our study attempted to assess the performance of two large language models: Open AI's ChatGPT and Google's Bard on dermatology board exam-style questions. Based on our study, Google Bard outperformed ChatGPT and achieved the highest scores in general dermatology among dermatology disciplines.
引用
收藏
页码：733 / 734
页数：2
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