Unknown

Dataset Information

Artificial intelligence-based algorithms for the diagnosis of retinopathy of prematurity.


ABSTRACT:

Objectives

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To assess the diagnostic performance of AI-based algorithms in comparison to the established reference standard of clinical diagnosis labels for ROP. Secondary objectives To undertake a critical examination of potential sources of heterogeneity influencing model performance by conducting subgroup analysis by: demographics of the study population (race or ethnicity); type of input data (images only, clinical variables only, or a combination of both); the fundamental methodologies adopted by the AI algorithms (CNN or DNN); and scanner type (Retcam, Forus, or Pheonix ICON).

SUBMITTER: Chong P 

PROVIDER: S-EPMC12502027 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature