Kapoor R, Walters SP, and Al-Aswad LA. The Current State of Artificial Intelligence in Ophthalmology. Survey of Ophthalmology 2019; 64: 233-240. Click here to view the paper Abstract Artificial intelligence (AI) is a branch of computer science that deals with the development of algorithms that seek
Gulshan V, Peng L, Coram M et al. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs. JAMA 2016; 316:2402-2410. Click here to view the paper Importance Deep learning is a family of computational methods that allow an algorithm
Optical imaging employs light as a medium to non-invasively look into the cellular and molecular functions inside a body. It has significant in vivo applications like assisting in surgeries or examining the brains. A group of researchers at Purdue University is now bringing the technology a step fur
Abramoff MD, Lavin PT, Brich M et al. Pivotal Trial of an Autonomous AI-based Diagnostic System for Detection of Diabetic Retinopathy in Primary Care Offices. npj Digital Medicine 2018; 1:39. Click here to view the paper Abstract Artificial Intelligence (AI) has long promised to increase healthcare
Human’s vision is robust in such a way that when we see a stranger; look away for a few seconds, and then look back again at the same stranger, we will still be able to recognize that’s the person we saw moments ago, even though he/she might have moved off from his/her original position. However, su
US patients are being enrolled in the first study to test gene editing inside the body to cure an inherited form of blindness
“Eyes are the windows to the soul”. It’s probably many physicians’ dreams to be able to tell what a patient has come down with by looking into their eyes. Researchers from the University College London (UCL) and Moorfields Eye Hospital are trying to realize this dream in a collaborative project call
DeepMind's project with Moorfileds Eye Hospital has taken a step closer to clinical implementation as their algorithms outperform human experts in detecting eye diseases. A new study by Moorfields, in London and DeepMind, a Google company, found that artificial intelligence (AI) powered imaging tech
