Application of Artificial Intelligence in Targeting Retinal Diseases.

Application of Artificial Intelligence in Targeting Retinal Diseases. Curr Drug Targets. 2020 Jul 08;: Authors: Sorrentino FS, Jurman G, De Nadai K, Campa C, Furlanello C, Parmeggiani F Abstract Retinal diseases affect an increasing number of patients worldwide because of the aging population. Request for diagnostic imaging in ophthalmology is ramping up, while the number of specialists keeps shrinking. Cutting-edge technology embedding artificial intelligence (AI) algorithms is thus advocated to help ophthalmologists perform their clinical tasks as well as a source for novel biomarkers. In particular, optical coherence tomography (OCT) evaluation of the retina can be augmented by algorithms based on machine learning and deep learning to early detect, qualitatively localize and quantitatively measure epi/intra/subretinal abnormalities or pathological features of macular or neural diseases. In this paper, we discuss the use of AI to facilitate efficacy and accuracy of retinal imaging in those diseases increasingly treated by intravitreal vascular endothelial growth factor (VEGF) inhibitors (i.e. anti-VEGF drugs), also including integration and interpretation features in the process. We review recent advances by AI in diabetic retinopathy, age-related macular degeneration, and retinopathy of prematurity that envision a potentially key role of highly automated systems in screening, early diagnosis, grading and individualized therapy. We...
Source: Current Drug Targets - Category: Drugs & Pharmacology Authors: Tags: Curr Drug Targets Source Type: research