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The team of researchers reportedly predicted cardiovascular risk factors that were "not previously thought to be present or quantifiable in retinal images" using the deep learning models that they trained on data from 284,335 patients. In biology the rear interior wall of the eye is full of blood vessels that reflect the body's overall health. Given the fact that heart diseases is one of the leading causes of deaths in the world, this algorithm could be a big breakthrough.
Apple late previous year 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. This can then be used to predict cardiac events very accurately.
Key risk factors for heart disease include both obvious things like your age and gender, and things that may be a bit harder to detect, such as whether you smoke, your systolic blood pressure, and whether you've had major cardiovascular events in the past.
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Apart from an impressive camera system at the back, Nokia 8 Pro will also feature a Qualcomm Snapdragon 845 chipset . The two phones are also said to support 64GB of onboard storage with up to 400GB additionally via micro SD cards.
Coming soon.a Google AI heart disease test?! Information included the results of the eye screening and General health information.
"This discovery is particularly exciting because it suggests we might discover even more ways to diagnose health issues from retinal images", Peng wrote.
The researchers from Verily, formerly known as Google Life Sciences, developed the algorithm in the hope of making accurate assessments of patients' cardiovascular health more quickly and easily than current methods.
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A tweet by Kenn Durrence in January also suggested "seven people injured themselves" by walking into glass doors. The pods are created to encourage more open and social working than the traditional, stifling office cubicle.
According to Peng, the computer vision algorithm can distinguish between the retinal images of a smoker from that of a non-smoker at least seven out of 10 times. Those eye scans helped train the networks on which tell-tale signs led to indicate long-term cardiovascular risk. This is only slightly worse than the commonly used SCORE method of predicting cardiovascular risk, which requires a blood test and makes correct predictions in the same test 72 percent of the time.
Google also made sure to determine how the algorithm was making its prediction.
One of the exciting aspects of this study is the generation of "attention maps" to show which aspects of the retina contributed most to the algorithm, thus providing a window into the "black box" often associated with machine learning. This could help scientists generate more targeted hypotheses and drive a wide range of future research.
Man suspected in 4-year-old SC girl's kidnapping arrested
Prosecutor Scarlett Wilson said Evans has been charged with kidnapping and that she expected to file more charges. The man accused of kidnapping a 4-year-old Johns Island girl will soon be headed back to SC to face charges.