Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review | Zendy

Kimberley Yu | Zendy; Maha N. Syed | Zendy; Elena Bernardis | Zendy; Joel M. Gelfand | Zendy

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Machine Learning Applications in the Evaluation and Management of Psoriasis: A Systematic Review

Author(s) -

Kimberley Yu,

Maha N. Syed,

Elena Bernardis,

Joel M. Gelfand

Publication year - 2020

Publication title -

journal of psoriasis and psoriatic arthritis

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.473

H-Index - 3

eISSN - 2475-5311

pISSN - 2475-5303

DOI - 10.1177/2475530320950267

Subject(s) - psoriasis , computer science , identification (biology) , medline , segmentation , artificial intelligence , systematic review , medicine , medical physics , machine learning , skin lesion , dermatology , botany , political science , law , biology

Machine learning (ML), a subset of artificial intelligence (AI) that aims to teach machines to automatically learn tasks by inferring patterns from data, holds significant promise to aid psoriasis care. Applications include evaluation of skin images for screening and diagnosis as well as clinical management including treatment and complication prediction.

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