How Google’s #AI, #machinelearning can save more lives by making #healthcare predictive. Interesting case studies from Aravind and Sankara eye Hospitals.#taalk


SUNDAR PICHAI, CEO AT GOOGLE: AI is going to impact many, many fields. And I want to give me a couple of examples today. Healthcare is one of the most important fields AI is going to transform. Last year we announced a work on Diabetic Retinopathy it’s a leading cause of blindness and views deep learning to help doctors diagnose it earlier.

And we’ve been running field trials since then at Aravind and Sankara Hospitals in India and the field trials are going really well. We are bringing expert diagnosis to places better were trained doctors are scarce.

It turned out using the same retinal scans there were things which humans quite been known to look for but our AI Systems offered more insights. Your same eyes scan turns out holds information with which we can predict the five year risk of you having an adverse cardiovascular events, heart attacks or strokes.

So to me the interesting thing is that you know more than what doctors could find in these eye scans the machine learning systems offered newer insights. This could be the basis for a new noninvasive way to detect cardiovascular risk and we are working. We just published a research and we are going to be working to bring this to field trials with our partners.

Another area where AI can help is to actually help doctors predict medical events. It turns out doctors have a lot of difficult decision to make and for them getting advance notice, say 24 to 48 hours before a patient is likely to get very sick has a tremendous difference in the outcome.

And so we put a machine learning systems to work. They’ve been working with our partners using the identified medical records and it turns out if you go and analyze over hundred thousand data points per patient more than any single doctor could analyze we can actually quantitatively predict the chance of readmission 24 to 48 hours before earlier than traditional methods. It gives doctors more time to act.

We are publishing a paper on this later today and we’re looking forward to partnering with hospitals and medical institutions.