Tuesday, 25 September, 2018

Google's AI can now predict heart attacks

AI looks into your eyes to predict cardio risk AI looks into your eyes to predict cardio risk Feb 20 2018
Judith Alexander | 20 February, 2018, 20:44

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In a paper published today (via The Verge), Verily and the Google AI teams detail their work analyzing blood vessels at the back of the eye to predict risk factors, like blood pressure and smoking, associated with cardiovascular disease. Google has taken that reality and combined it with deep learning algorithms to take the diagnostic potential to a new level.

The opportunity to one day readily understand the health of a patient's blood vessels, key to cardiovascular health, with a simple retinal image could lower the barrier to engage in critical conversations on preventive measures to protect against a cardiovascular event.

Apple late a year ago launched a heart study tied to its Apple Watch to see if it could detect and alert people to irregular heart rhythms that could be a sign of atrial fibrillation, a leading cause of stroke. The role of AI and machine learning in making human lives easier is conventional, but using the advanced technology tools to have a lasting impact on human health is certainly a breakthrough. In doing so, Google Retinal Scans Uses AI To Determine Heart Attack Risks.

However, deep learning techniques can also be used to increase the accuracy of diagnoses for these conditions, Peng wrote.

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Coming soon.a Google AI heart disease test?!

Computer vision tasks include methods for acquiring, processing, analysing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information. "This discovery is particularly exciting because it suggests we might discover even more ways to diagnose health issues from retinal images". The latest applies machine learning to retinal images to identify the risk factors of cardiovascular disease. Those eye scans helped train the networks on which tell-tale signs led to indicate long-term cardiovascular risk.

When presented with two retinal scans, one of a patient who suffered from a cardiovascular event - like a heart attack - within five years of the scan, and one who didn't, Verily's AI correctly predicted the patient's future with 70 percent accuracy.

The algorithm makes it quicker for doctors to analyse cardiovascular risk and it doesn't require a blood test.

Google also made sure to determine how the algorithm was making its prediction. According to her, the operational methodology of the algorithm can in future allow Google to generate a heatmap that shows which pixels were the most important elements for a predicting a specific CV risk factor.

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