Accuracy of Deep Neural Network in Triaging Common Skin Diseases of Primary Care Attention.

ABSTRACT: Access to dermatological care can be challenging in certain regions of the world. The triage process is usually conducted by primary care physicians; however, they may not be able to diagnose and assign the correct referral and level of priority for different dermatosis. The present research aimed to test different deep neural networks to obtain the highest level of accuracy for the following: (1) diagnosing groups of dermatoses; (2) correct referrals; and (3) the level of priority given to the referral compared to dermatologists. Using 140,446 images from a teledermatology project, previously labeled with the clinical diagnosis, and their respective referrals, namely biopsy, in-person dermatologist visits or monitoring the case via teledermatology along with the general physician, 27 diff

SUBMITTER: Giavina-Bianchi M 

PROVIDER: S-EPMC8427035 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature