Performance of a deep neural network in teledermatology: a single-centre prospective diagnostic study.

ABSTRACT:

Background

The use of artificial intelligence (AI) algorithms for the diagnosis of skin diseases has shown promise in experimental settings but has not been yet tested in real-life conditions.

Objective

To assess the diagnostic performance and potential clinical utility of a 174-multiclass AI algorithm in a real-life telemedicine setting.

Methods

Prospective, diagnostic accuracy study including consecutive patients who submitted images for teledermatology evaluation. The treating dermatologist chose a single image to upload to a web application during teleconsultation. A follow-up reader study including nine healthcare providers (3 dermatologists, 3 dermatology residents and 3 general practitioners) was performed.

Results

A total of 340 cases from 281 patients

SUBMITTER: Munoz-Lopez C 

PROVIDER: S-EPMC8274350 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature