Paul Chong, Benjamin K Young, Stephen McNamara, Sueko M Ng, Su-Hsun Liu, Tianjing Li, J Peter Campbell, Jayashree Kalpathy-Cramer, Praveer Singh
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Artificial intelligence-based algorithms for the diagnosis of retinopathy of prematurity.
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).
期刊介绍:
The Cochrane Database of Systematic Reviews (CDSR) stands as the premier database for systematic reviews in healthcare. It comprises Cochrane Reviews, along with protocols for these reviews, editorials, and supplements. Owned and operated by Cochrane, a worldwide independent network of healthcare stakeholders, the CDSR (ISSN 1469-493X) encompasses a broad spectrum of health-related topics, including health services.