Artificial Intelligence for the Classification of Pigmented Skin Lesions in Populations with Skin of Color: A Systematic Review.

ABSTRACT:

Background

While skin cancers are less prevalent in people with skin of color, they are more often diagnosed at later stages and have a poorer prognosis. The use of artificial intelligence (AI) models can potentially improve early detection of skin cancers; however, the lack of skin color diversity in training datasets may only widen the pre-existing racial discrepancies in dermatology.

Objective

The aim of this study was to systematically review the technique, quality, accuracy, and implications of studies using AI models trained or tested in populations with skin of color for classification of pigmented skin lesions.

Methods

PubMed was used to identify any studies describing AI models for classification of pigmented skin lesions. Only studies that used training data

SUBMITTER: Liu Y 

PROVIDER: S-EPMC10407827 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature