Assessing the performance of artificial intelligence models in evaluating inflammatory skin disease severity: a systematic review and meta-analysis.

ABSTRACT:

Background

Artificial intelligence (AI) applications in dermatology have expanded beyond diagnosis and have shifted towards assessing disease severity.

Objectives

To qualitatively and quantitatively evaluate the performance of image-based AI models in severity assessment for various skin diseases.

Methods

In this systematic review and meta-analysis, we collected studies using four electronic databases, including PubMed, Embase, Institute of Electrical and Electronics Engineers Xplore and Web of Science, published from 1 January 2017 to 6 April 2023, and updated the search in November 2023. Studies assessing the performance of deep learning AI models on the severity of skin diseases were included. We excluded studies that utilized a nonvalidated severity index, lacked

SUBMITTER: Cai ZR 

PROVIDER: S-EPMC12532143 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature