Unknown

Dataset Information

Performance of artificial intelligence for the detection of pathological myopia from colour fundus images: a systematic review and meta-analysis.


ABSTRACT:

Background

Pathological myopia (PM) is a major cause of worldwide blindness and represents a serious threat to eye health globally. Artificial intelligence (AI)-based methods are gaining traction in ophthalmology as highly sensitive and specific tools for screening and diagnosis of many eye diseases. However, there is currently a lack of high-quality evidence for their use in the diagnosis of PM.

Methods

A systematic review and meta-analysis of studies evaluating the diagnostic performance of AI-based tools in PM was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidance. Five electronic databases were searched, results were assessed against the inclusion criteria and a quality assessment was conducted for included stu

SUBMITTER: Prashar J 

PROVIDER: S-EPMC10810874 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature