Uneven Index: A Digital Biomarker to Prompt Demodex Blepharitis Based on Deep Learning.

ABSTRACT: Purpose: To evaluate ocular surface manifestations and morphological changes in meibomian glands (MGs) based on artificial intelligence (AI) analysis in patients with Demodex blepharitis. Methods: In this retrospective study, 115 subjects were enrolled, including 64 subjects with Demodex blepharitis and 51 subjects without Demodex blepharitis as control group. Morphological indexes were evaluated for height, width, tortuosity, MG density, total variation, and the three types of corrected total variation as Uneven indexes. Results: There were no statistically significant differences in all MGs' average tortuosity and width between the two groups. The average height of all MGs and MG density were significantly lower in the Demodex blepharitis

SUBMITTER: Liu X 

PROVIDER: S-EPMC9309610 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature