Artificial Intelligence–Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study
In this study, we constructed the first skin-lesion-based dataset and developed the first AI-aided diagnosis system for PPSDs. This system provides the final diagnosis result by simulating the diagnostic process of dermatologists. Compared with existing advanced algorithms, this system is more accurate in identifying PPSDs. Overall, our system can not only help patients achieve self-screening and alleviate their stigma but also assist dermatologists in diagnosing PPSDs.
Authors
- Shuang Zhao (ORCID: https://orcid.org/0000-0001-7081-6177)
- Licong Xu
- Yong Wang (ORCID: https://orcid.org/0000-0001-7670-3958)
- Xiang Chen (ORCID: https://orcid.org/0000-0001-8187-636X)
- Wei Wang (ORCID: https://orcid.org/0000-0003-3984-6241)
- Kai Huang (ORCID: https://orcid.org/0000-0003-3348-2723)
Institutions
- Central South University (CN)
- Xiangya Hospital Central South University (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-12-27
- DOI
- https://doi.org/10.2196/52914
- Citations
- 3
- Primary Topic
- Genital Health and Disease
- Type
- article
- Field-Weighted Citation Impact
- 1.72
Funders
- Central South University
- Xiangya Hospital, Central South University