AIMC Topic: Vitrectomy
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Robot-assisted retinal vein cannulation in an in vivo porcine retinal vein occlusion model.
Acta ophthalmologica
Jan 13, 2017
PURPOSE: To evaluate the feasibility of robot-assisted retinal vein cannulation for retinal vein occlusion.
Prediction of Visual Outcome After Rhegmatogenous Retinal Detachment Surgery Using Artificial Intelligence Techniques.
Translational vision science & technology
May 1, 2024
PURPOSE: This study aimed to develop artificial intelligence models for predicting postoperative functional outcomes in patients with rhegmatogenous retinal detachment (RRD).
DEEP LEARNING-BASED PREDICTION OF OUTCOMES FOLLOWING NONCOMPLICATED EPIRETINAL MEMBRANE SURGERY.
Retina (Philadelphia, Pa.)
Aug 1, 2022
PURPOSE: We used deep learning to predict the final central foveal thickness (CFT), changes in CFT, final best corrected visual acuity, and best corrected visual acuity changes following noncomplicated idiopathic epiretinal membrane surgery.
Predicting Visual Improvement After Macular Hole Surgery: A Combined Model Using Deep Learning and Clinical Features.
Translational vision science & technology
Apr 1, 2022
PURPOSE: The purpose of this study was to assess the feasibility of deep learning (DL) methods to enhance the prediction of visual acuity (VA) improvement after macular hole (MH) surgery from a combined model using DL on high-definition optical coher...
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