Abstract：
Psoriasis is an immune-mediated skin disease affecting approximately 3% of the global population. Proper management of this condition necessitates the assessment of the Body Surface Area (BSA) and the involvement of nails and joints. Recently, the integration of Natural Language Processing (NLP) with Electronic Medical Records (EMRs) has shown promise in advancing disease classification and research. This study evaluates the performance of ChatGPT-4, a commercial AI platform, in analyzing unstructured EMR data of psoriasis patients, particularly in identifying affected body areas.
摘要：
牛皮癣是一种免疫介导的皮肤病，影响全球约3%的人口。这种情况的正确管理需要评估体表面积（BSA）以及指甲和关节的参与。最近,自然语言处理（NLP）与电子医疗记录（EMR）的集成在推进疾病分类和研究方面显示出了希望。这项研究评估了商业AI平台ChatGPT-4的性能，在分析银屑病患者的非结构化EMR数据时，特别是在识别受影响的身体区域。
