Evaluating the Viability of a Smartphone-Based Annotation Tool for Faster and Accurate Image Labelling for Artificial Intelligence in Diabetic Retinopathy.

Introduction: Deep Learning (DL) and Artificial Intelligence (AI) have become widespread due to the advanced technologies and availability of digital data. Supervised learning algorithms have shown human-level performance or even better and are better feature extractor-quantifier than unsupervised learning algorithms. To get huge dataset with good quality control, there is a need of an annotation tool with a customizable feature set.

An insight into the pathogenesis of optic disc pit-associated maculopathy with enhanced depth imaging.

Importance: Optic disc pit with associated maculopathy is a known entity. However, controversy exists regarding the source of subretinal fluid in these cases. In our series, we attempted to analyze the morphologic changes seen in the optic disc pit and evaluate the source of subretinal fluid.