AI-Powered Eye Disease Detection Web App An intelligent retina image classification system built using deep learning (VGG16), TensorFlow, and Flask. This open-source project helps detect common eye ...

Glaucoma trajectory can be predicted using a machine-learning approach with Kalman-filtering technology.

It presents the AI-based Glaucoma Screening (AI-GS) network, a system that integrates multiple lightweight deep learning models to analyze fundus images. The AI-GS network detects early structural ...

Background Deep learning (DL) is promising to detect glaucoma. However, patients’ privacy and data security are major concerns when pooling all data for model development. We developed a ...

A machine-learning model developed in this study was able to predict 24-hour peaks for intraocular pressure (IOP).

Glaucoma is a neurological disease and one of the most well-known causes of vision loss, according to the abstract. Because nerve degeneration is an irreversible process, early detection of the ...

These investigations showcase the efficacy of both traditional machine learning and deep learning approaches in addressing glaucoma detection using digital fundus images.

A machine learning algorithm can accurately detect glaucoma using only pRNFL and GCIPL measurements obtained from SD-OCT.

However, using artificial intelligence (AI) and deep learning (DL) algorithms in healthcare can improve the diagnosis and screening of glaucoma.