Artificial Intelligence in Dermatology: A Systematized Review

Artificial intelligence (AI) has gaining more and more importance in diagnosis of dermatologic conditions since COVID-19 pandemic. Most of the literature on AI in dermatology focus on melanoma and non-melanoma skin cancer detection, with reporting from 81.0%-99.0%. Other commonly studied diseases include psoriasis, acne vulgaris, onychomycosis, atopic dermatitis. While AI has the potential to improve access to dermatologic care, especially in underserved communities, challenges remain in its implementation. Here we review the different application of AI in dermatology and their outcomes, focusing on the accuracy, sensitivity, specificity of different AI algorithm in diagnosis of different skin conditions. This review may provide an organized summary of the various applications of AI in dermatology and their potential outcomes.