Journal article
Artificial intelligence algorithms for analysis of geographic atrophy: A review and evaluation
J Arslan, G Samarasinghe, KK Benke, A Sowmya, Z Wu, RH Guymer, PN Baird
Translational Vision Science and Technology | ASSOC RESEARCH VISION OPHTHALMOLOGY INC | Published : 2020
DOI: 10.1167/tvst.9.2.57
Open access
Abstract
Purpose: The purpose of this study was to summarize and evaluate artificial intelligence (AI) algorithms used in geographic atrophy (GA) diagnostic processes (e.g. isolating lesions or disease progression). Methods: The search strategy and selection of publications were both conducted in accordance with the Preferred of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. PubMed and Web of Science were used to extract literary data. The algorithms were summarized by objective, performance, and scope of coverage of GA diagnosis (e.g. lesion automation and GA progression). Results: Twenty-seven studies were identified for this review. A total of 18 public..
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Grants
Awarded by National Health and Medical Research Council
Funding Acknowledgements
The authors thank the following funding sources: National Health & Medical Research Council of Australia (NHMRC) Senior Research Fellowship 1138585 for Prof. Paul N. Baird; NHMRC Fellowship GNT1103013 for Robyn H. Guymer; and RB McComas Research Scholarship in Ophthalmology from the University of Melbourne for Janan Arslan.