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Machine Learning in Dermatology: Current Applications, Opportunities, and Limitations
2020
Dermatology and Therapy
Machine learning (ML) has the potential to improve the dermatologist's practice from diagnosis to personalized treatment. Recent advancements in access to large datasets (e.g., electronic medical records, image databases, omics), faster computing, and cheaper data storage have encouraged the development of ML algorithms with human-like intelligence in dermatology. This article is an overview of the basics of ML, current applications of ML, and potential limitations and considerations for
doi:10.1007/s13555-020-00372-0
pmid:32253623
pmcid:PMC7211783
fatcat:hq7lmmhnuzcbtioo2jdlwugmci