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Therapeutic application of machine learning in psoriasis: A Prisma systematic review.

Authors :
Lunge, Snehal Balvant
Shetty, Nandini Sundar
Sardesai, Vidyadhar R.
Karagaiah, Priyanka
Yamauchi, Paul S.
Weinberg, Jeffrey M.
Kircik, Leon
Giulini, Mario
Goldust, Mohamad
Source :
Journal of Cosmetic Dermatology; Feb2023, Vol. 22 Issue 2, p378-382, 5p
Publication Year :
2023

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14732130
Volume :
22
Issue :
2
Database :
Complementary Index
Journal :
Journal of Cosmetic Dermatology
Publication Type :
Academic Journal
Accession number :
161826349
Full Text :
https://doi.org/10.1111/jocd.15122