Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care.

ABSTRACT: Dermatological conditions are a relevant health problem. Machine learning (ML) models are increasingly being applied to dermatology as a diagnostic decision support tool using image analysis, especially for skin cancer detection and disease classification. The objective of this study was to perform a prospective validation of an image analysis ML model, which is capable of screening 44 skin diseases, comparing its diagnostic accuracy with that of General Practitioners (GPs) and teledermatology (TD) dermatologists in a real-life setting. Prospective, diagnostic accuracy study including 100 consecutive patients with a skin problem who visited a participating GP in central Catalonia, Spain, between June 2021 and October 2021. The skin issue was first assessed by the GPs. Then an anonymised sk

SUBMITTER: Escale-Besa A 

PROVIDER: S-EPMC10015524 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature