Abstract
In the practice of psoriasis, nail lesions must be accurately evaluated in addition to skin and joint lesions. Scoring with Nail Psoriasis Severity Index (NAPSI) is often used as a tool to assess the severity of nail psoriasis, but there are several vexing issues. First, calculating NAPSI scores on multiple digits is rather time-consuming. Second, NAPSI scores often vary widely among scoring dermatologists. In this study, we developed a deep learning-based NAPSI prediction system to solve the current problems of NAPSI scoring and make it easier and more effective to implement in daily clinical practice.
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