AbstractAimsTo evaluate the performance of the RETeval device, a handheld instrument using flicker electroretinography (ERG) and pupillography on undilated subjects with diabetes, to detect vision-threatening diabetic retinopathy (VTDR).MethodsPerformance was measured using a cross-sectional, single armed, non-interventional, multi-site study with Early Treatment Diabetic Retinopathy Study 7-standard field, stereo, color fundus photography as the gold standard. The 468 subjects were randomized to a calibration phase (80%), whose ERG and pupillary waveforms were used to formulate an equation correlating with the presence of VTDR, and a validation phase (20%), used to independently validate that equation. The primary outcome was the prevalenc...
Purpose To compare the performance of automated diabetic retinopathy (DR) detection, using the algor...
Purpose Assessing disease activity in Birdshot uveitis can be challenging. The peak time of the 30 H...
OBJECTIVE To determine the diagnostic accuracy in a real-world primary care setting of a deep learni...
Electroretinographic studies have suggested that anti-VEGF treatment apart from its positive impact ...
Background Electroretinographic studies have suggested that anti-VEGF treatment apart from its posit...
Natsuko Nakamura,1 Kaoru Fujinami,1 Yoshinobu Mizuno,2 Toru Noda,2 Kazushige Tsunoda11Laboratory of ...
Purpose. Diabetic retinal neuropathy refers to retinal neural tissue damage occurring before the str...
Purpose. Diabetic retinal neuropathy refers to retinal neural tissue damage occurring before the str...
Purpose : Birdshot chorioretinopathy (BCR) is a chronic inflammatory disease which follows a variabl...
Objective: Currently 1/12 of the world’s population has diabetes mellitus (DM), many are or will be ...
Purpose: To increase the efficiency of retinal image grading, algorithms for automated grading have ...
Introduction: Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus ...
Abstract Background Visual impairment from diabetic retinopathy (DR) is an increasing global public ...
The most described techniques used to detect diabetic retinopathy and diabetic macular edema have to...
The aim of the study was to validate the performance of the Optomed Aurora® handheld fundus camera i...
Purpose To compare the performance of automated diabetic retinopathy (DR) detection, using the algor...
Purpose Assessing disease activity in Birdshot uveitis can be challenging. The peak time of the 30 H...
OBJECTIVE To determine the diagnostic accuracy in a real-world primary care setting of a deep learni...
Electroretinographic studies have suggested that anti-VEGF treatment apart from its positive impact ...
Background Electroretinographic studies have suggested that anti-VEGF treatment apart from its posit...
Natsuko Nakamura,1 Kaoru Fujinami,1 Yoshinobu Mizuno,2 Toru Noda,2 Kazushige Tsunoda11Laboratory of ...
Purpose. Diabetic retinal neuropathy refers to retinal neural tissue damage occurring before the str...
Purpose. Diabetic retinal neuropathy refers to retinal neural tissue damage occurring before the str...
Purpose : Birdshot chorioretinopathy (BCR) is a chronic inflammatory disease which follows a variabl...
Objective: Currently 1/12 of the world’s population has diabetes mellitus (DM), many are or will be ...
Purpose: To increase the efficiency of retinal image grading, algorithms for automated grading have ...
Introduction: Diabetic retinopathy (DR) is a common microvascular complication of diabetes mellitus ...
Abstract Background Visual impairment from diabetic retinopathy (DR) is an increasing global public ...
The most described techniques used to detect diabetic retinopathy and diabetic macular edema have to...
The aim of the study was to validate the performance of the Optomed Aurora® handheld fundus camera i...
Purpose To compare the performance of automated diabetic retinopathy (DR) detection, using the algor...
Purpose Assessing disease activity in Birdshot uveitis can be challenging. The peak time of the 30 H...
OBJECTIVE To determine the diagnostic accuracy in a real-world primary care setting of a deep learni...