AI-MK: artificial intelligence for assessing and monitoring microbial keratitis.

ABSTRACT:

Background/aims

To evaluate the performance of an artificial intelligence (AI) model for detecting and monitoring microbial keratitis (MK) using anterior segment optical coherence tomography (AS-OCT).

Methods

This is a prospective observational study. Patients with clinically suspected MK and healthy participants were included. In addition to routine assessment and treatment with topical fluoroquinolone therapy, patients underwent AS-OCT at each clinic visit. These images were tested on our DeepLabV3 network-based AI model, which aims to diagnose and record changes to infiltrate sizes of MK lesions over time.

Results

The AI model accurately captured MK lesions in 93% of cases (152/163). MK was not detected in scans from healthy eyes, and there were no cases of artefac

SUBMITTER: Hart C 

PROVIDER: S-EPMC12815086 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature