Artificial Intelligence–Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study
BackgroundPrivate-part skin diseases (PPSDs) can cause a patient’s stigma, which may hinder the early diagnosis of these diseases. Artificial intelligence (AI) is an effective tool to improve the early diagnosis of PPSDs, especially in preventing the deterioration of skin tum...
Saved in:
| Main Authors: | Wei Wang, Xiang Chen, Licong Xu, Kai Huang, Shuang Zhao, Yong Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2024-12-01
|
| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2024/1/e52914 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of artificial intelligence medical imaging aided diagnosis system in the diagnosis of pulmonary nodules
by: Ya Yang, et al.
Published: (2025-05-01) -
A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images
by: Hassaan Haider Syed, et al.
Published: (2021-01-01) -
Skin Cancer Image Classification Using Artificial Intelligence Strategies: A Systematic Review
by: Ricardo Vardasca, et al.
Published: (2024-10-01) -
Revolutionizing Management Accounting: The Role of Artificial Intelligence in Predictive Analytics, Automated Reporting, and Decision-Making
by: Milos Pavlovic, et al.
Published: (2024-12-01) -
The Interplay of Learning Analytics and Artificial Intelligence
by: Jelena Jovanovic
Published: (2024-10-01)