| Literature DB >> 30446202 |
Sarah Mattessich1, Michael Tassavor2, Susan M Swetter3, Jane M Grant-Kels4.
Abstract
Artificial intelligence and its machine learning (ML) capabilities are very promising technologies for dermatology and other visually oriented fields due to their power in pattern recognition. Understandably, many physicians distrust replacing clinical finesse with unsupervised computer programs. We describe convolutional neural networks and discuss how this method of ML will impact the field of dermatology. ML is a form of artificial intelligence well suited for pattern recognition in visual applications. Many dermatologists are wary of such unsupervised algorithms and their future implications.Entities:
Mesh:
Year: 2018 PMID: 30446202 DOI: 10.1016/j.clindermatol.2018.06.003
Source DB: PubMed Journal: Clin Dermatol ISSN: 0738-081X Impact factor: 3.541