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

ABSTRACT:

Background

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.

Objective

To summarize literature on ML applications to psoriasis evaluation and management and to discuss challenges and opportunities for future advances.

Methods

We searched MEDLINE, Google Scholar, ACM Digital Library, and IEEE Xplore for peer-reviewed publications published in English through December 1, 2019. Our search queries identified publications with any of the 10 computing-related keywords and

SUBMITTER: Yu K 

PROVIDER: S-EPMC7963214 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature