AIMC Topic: Retinal Detachment

Clear Filters Showing 21 to 22 of 22 articles

Deep Learning-Based Automated Detection of Retinal Breaks and Detachments on Fundus Photography.

Translational vision science & technology
PURPOSE: The purpose of this study was to develop a deep learning algorithm, to detect retinal breaks and retinal detachments on ultra-widefield fundus (UWF) optos images using artificial intelligence (AI).

A Deep Learning Model for Screening Multiple Abnormal Findings in Ophthalmic Ultrasonography (With Video).

Translational vision science & technology
PURPOSE: The purpose of this study was to construct a deep learning system for rapidly and accurately screening retinal detachment (RD), vitreous detachment (VD), and vitreous hemorrhage (VH) in ophthalmic ultrasound in real time.