Ipp E, Liljenquist D, Bode B, et al. Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy. JAMA Netw Open. 2021;4(11):e2134254. Published 2021…
Purpose Evaluate an artificial intelligence (AI) system to screen people with diabetes at point-of-care for diabetic retinopathy (DR) including diabetic macular edema (DME). Methods We conducted a prospective multi-center study…
Tufail et.al conducted an independent, observational study of 20,258 consecutive patient visits comparing three automated DR screening systems: EyeArt, Retmarker DR, and iGrading. STUDY CONCLUSIONS: Compared to quality assured manual…
Clinical Validation Study of an automated DR Screening System against 7-field ETDRS Stereoscopic Reference Standard PURPOSE AND BACKGROUND: Comprehensive clinical validation of an automated diabetic retinopathy (DR) screening system, EyeArt…
Purpose : Ultra-widefield (UWF) scanning laser ophthalmoscopy (SLO) imaging is a promising modality for diabetic retinopathy (DR). Manual segmentation of lesions on UWF images can be labor-intensive and error-prone. Therefore, there…
Purpose: We examined the sensitivity and specificity of an automated algorithm for detecting referral-warranted diabetic retinopathy (DR) on Optos ultrawide-field (UWF) pseudocolour images. Methods: Patients with diabetes were recruited for…
Background: Diabetic retinopathy (DR)—a common complication of diabetes—is the leading cause of vision loss among the working-age population in the western world. DR is largely asymptomatic, but if detected at…
Abstract Diabetic retinopathy (DR) is the leading cause of vision loss in the working age adults. With an increasing diabetic population there is an urgent need for smarter screening for…
Purpose Age-related macular degeneration (AMD) is a progressive eye condition that results in loss of central vision and severely impacts quality of life for over 15 million elderly Americans. Grading…
Purpose: Age-related macular degeneration (AMD) is the single largest cause for legal blindness among senior Americans. Non-neovascular or dry (atrophic) AMD is the primary form of AMD contributing to 85%…
Objectives To assess the role of artificial intelligence (AI)-based automated software for detection of diabetic retinopathy (DR) and sight-threatening DR (STDR) by fundus photography taken using a smartphone-based device and…
Read Study | Download PDF The large scale REtrospective Validation of Eyeart in the REal world (REVERE) study assessed the diagnostic efficacy of the EyeArt system screening for referable diabetic…
Purpose Evaluate an artificial intelligence (AI) system to screen people with diabetes at point-of-care for diabetic retinopathy (DR) including diabetic macular edema (DME). Methods We conducted a prospective multi-center study…
Purpose : Vision loss from diabetic retinopathy (DR) in ever-increasing population of diabetic patients can be prevented by early screening and diagnosis. To meet this growing need for screening, we present…
Tufail et.al conducted an independent, observational study of 20,258 consecutive patient visits comparing three automated DR screening systems: EyeArt, Retmarker DR, and iGrading. STUDY CONCLUSIONS: Compared to quality assured manual…
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