Artificial Intelligence in Dermatology: A Primer.
Abstrak
Artificial intelligence (AI) is becoming increasingly important in dermatology, with studies reporting accuracy matching or exceeding dermatologists for the diagnosis of skin lesions from clinical and dermoscopic images. However, real-world clinical validation is currently lacking. We review dermatological applications of deep learning, the leading AI technology for image analysis, and discuss its current capabilities, potential failure modes, and challenges surrounding performance assessment and interpretability. We address three primary applications: (1) teledermatology, including triage for referral to dermatologists, (2) augmenting clinical assessment during face-to-face visits, and (3) dermatopathology. We discuss equity and ethical issues related to future clinical adoption and recommend specific standardization of metrics for reporting model performance.
Topik & Kata Kunci
Penulis (5)
A. Young
Mulin Xiong
J. Pfau
Michael J. Keiser
Maria L. Wei
Akses Cepat
- Tahun Terbit
- 2020
- Bahasa
- en
- Total Sitasi
- 175×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1016/j.jid.2020.02.026
- Akses
- Open Access ✓