Please provide your email address to receive an email when new articles are posted on . The machine-learning model successfully identified all eyes with mild NPDR that progressed within 1 year. The ...

Automated machine learning models may help identify eyes at risk for diabetic retinopathy (DR) progression based on ultra-widefield retinal images, according to a study published online Feb. 8 in JAMA ...

STOCKHOLM — At the American Society of Retina Specialists (ASRS) 2024 Annual Meeting, researchers discussed how insights into potential risk factors and new treatments could improve outcomes for ...

Google has been busy recently. Just in the past week it has closed down its Google Fit website, launched a new drug disposal tool and announced the first clinical use of Verily’s machine learning tool ...

Machine learning is transforming healthcare by aiding medical diagnosis. Google’s DeepMind division, for example, developed an algorithm that can identify retinal images indicative of eye conditions ...

Among 34,239 matched pairs, the risk of incident nonproliferative diabetic retinopathy was not different between patients taking empagliflozin or DPP-4 inhibitors (HR 1.04, 95% CI 0.94-1.15) over a ...