AI-Powered Diagnostic Tools in Dermatology: A Review

Artificial intelligence (AI) has the potential to help address critical challenges in dermatology care, including a shortage of dermatologists and increasing patient demand. This review explores 3 primary areas of AI-enabled diagnostic tools in dermatological diseases: skin cancers, non-cancer dermatological conditions, and supplemental imaging tools. Some AI models have demonstrated accuracy, sensitivity, and specificity comparable to dermatologists in detecting melanoma, basal cell carcinoma, and squamous cell carcinoma, as well as common inflammatory and autoimmune conditions such as psoriasis, eczema, and acne. Integration with supplemental imaging modalities, including dermoscopy, optical coherence tomography, and reflectance confocal microscopy, have also shown diagnostic accuracy.