Researchers develop AI system to improve eye disease detection The CARE system uses fundus photography in combination with a deep-learning system trained to detect retinal disease on a larger scale.

For the past three years, Google and Verily—Alphabet’s life sciences and healthcare arm—have been researching the use of machine learning to screen for diabetic retinopathy, a leading cause ...

Study demonstrates the potential of deep learning algorithms to predict Parkinson's disease (PD) through retinal fundus imaging, offering a non-invasive, early diagnostic tool.

In its latest use of cognitive technology to combat eye disease, IBM has developed a simple way to help doctors diagnose diabetic retinopathy.

Google researchers got an eye-scanning algorithm to figure out on its own how to detect a common form of blindness, showing the potential for artificial intelligence to transform medicine ...

Mobile app helps with early detection of eye diseases causing blindness The BegIA project is based on an artificial intelligence able to distinguish between the world's three leading causes of ...

Researchers have used virtual reality games, eye tracking and machine learning to show that differences in eye movements can be used to detect ADHD, potentially providing a tool for more precise ...

A 3D-printed mount and lens lets retinal scans be taken with an iPhone, and a machine learning system using readily available services and trained on thousands of such images does the diagnosis.