Artificial Intelligence-Based Psoriasis Severity Assessment: Real-world Study and Application.

ABSTRACT:

Background

Psoriasis is one of the most frequent inflammatory skin conditions and could be treated via tele-dermatology, provided that the current lack of reliable tools for objective severity assessments is overcome. Psoriasis Area and Severity Index (PASI) has a prominent level of subjectivity and is rarely used in real practice, although it is the most widely accepted metric for measuring psoriasis severity currently.

Objective

This study aimed to develop an image-artificial intelligence (AI)-based validated system for severity assessment with the explicit intention of facilitating long-term management of patients with psoriasis.

Methods

A deep learning system was trained to estimate the PASI score by using 14,096 images from 2367 patients with psoriasis. We used 1

SUBMITTER: Huang K 

PROVIDER: S-EPMC10131673 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature