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.

A simple eye exam combined with powerful artificial intelligence (AI) machine learning technology could provide early detection of Parkinson's disease, according to new research.

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.

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 ...

The capabilities go beyond observation, as AI-driven machine learning digs deep into the data to uncover concealed clues that fall outside human perception. If such signs can be detected, people would ...

Google DeepMind will detect eye diseases with AI The company will use machine learning to analyze one million eye scans. nick summers Senior Editor Updated Tue, Jul 5, 2016 · 2 min read ...

Using that knowledge, they then trained a machine learning model, known as a convolutional neural network (CNN), using four types of retinal scans as inputs to teach a computer to discern relevant ...

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

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.