Evaluation of dermatological conditions: the diagnostic potential of artificial intelligence in primary care

被引：2
|
作者：
Ahuja, Kripa [1 ]
Desena, Grace [2 ]
Lio, Peter [3 ]
机构：
[1] Eastern Virginia Med Sch, Norfolk, VA 23507 USA
[2] Univ Florida, Coll Med, Gainesville, FL USA
[3] Northwestern Univ, Dept Dermatol, Chicago, IL USA
来源：
CLINICAL AND EXPERIMENTAL DERMATOLOGY | 2024年 / 49卷 / 07期
关键词：
ACCURACY;
D O I：
10.1093/ced/llad423
中图分类号：
R75 [皮肤病学与性病学];
学科分类号：
100206 ;
摘要：
We used publicly available images to determine ChatGPT's diagnostic accuracy and potential to aid in primary care diagnostics of dermatological conditions. We found a lower diagnostic accuracy with publicly available images than with patient images, demonstrating that digital transparency and image retrieval play no role in ChatGPT's diagnostic accuracy.
引用
收藏
页码：737 / 739
页数：3
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