Open AccessArtificial Intelligence in Diabetic Retinopathy Screening. A Review
Author(s) -
Zbyněk Straňák,
Martin Pencak,
Miroslav Veith
Publication year - 2021
Publication title -
česká a slovenská oftalmologie
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.178
H-Index - 11
eISSN - 1805-4447
pISSN - 1211-9059
DOI - 10.31348/2021/6
Subject(s) - diabetic retinopathy , artificial intelligence , computer science , artificial neural network , gold standard (test) , optometry , clinical practice , medicine , medical physics , machine learning , diabetes mellitus , family medicine , endocrinology
The aim of this comprehensive paper is to acquaint the readers with evaluation of the retinal images using the arteficial intelligence (AI). Main focus of the paper is diabetic retinophaty (DR) screening. The basic principles of the artificial intelligence and algorithms that are already used in clinical practice or are shortly before approval will be described.