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

Snehal Balvant Lunge, Nandini Sundar Shetty, Vidyadhar R. Sardesai, Priyanka Karagaiah, Paul S. Yamauchi, Jeffrey M. Weinberg, Leon Kircik, Mario Giulini, Mohamad Goldust

Research output: Contribution to journalReview articlepeer-review

1 Scopus citations


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.

Original languageEnglish
Pages (from-to)378-382
Number of pages5
JournalJournal of Cosmetic Dermatology
Issue number2
StatePublished - Feb 2023


  • artificial intelligence
  • dermatology
  • machine learning
  • psoriasis


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