Therapeutic application of machine learning in psoriasis: A Prisma systematic review. (22nd June 2022)

• Record Type: Journal Article
• Authors: Lunge, Snehal Balvant; Shetty, Nandini Sundar; Sardesai, Vidyadhar R.; Karagaiah, Priyanka; Yamauchi, Paul S.; Weinberg, Jeffrey M.; Kircik, Leon; Giulini, Mario; Goldust, Mohamad
• Is Part Of: Journal of cosmetic dermatology. Volume 22:Number 2(2023)
• Page Start: 378
• Page End: 382
• Publication Date: 2022-06-22
• Subjects: artificial intelligence -- dermatology -- machine learning -- psoriasis; Skin -- Diseases -- Treatment -- Periodicals; Lasers in surgery -- Periodicals; Skin -- Pathophysiology -- Periodicals; Surgery, Plastic -- Periodicals; 616.5
• DOI: 10.1111/jocd.15122
• Languages: English
• ISSNs: 1473-2130

Abstract

Abstract: Dermatology, being a predominantly visual‐based diagnostic field, has found itself to be at the epitome of artificial intelligence (AI)‐based advances. Machine learning (ML), a subset of AI, goes a step further by recognizing patterns from data and teaches machines to automatically learn tasks. Although artificial intelligence in dermatology is mostly developed in melanoma and skin cancer diagnosis, advances in AI and ML have gone far ahead and found its application in ulcer assessment, psoriasis, atopic dermatitis, onychomycosis, etc. This article is focused on the application of ML in the therapeutic aspect of psoriasis.