Google has announced its new AI algorithm that can detect heart diseases by retina scanning. Scientists from Google and its subsidiary health tech Verily claim that by deep scanning of a patient’s eye, the newly developed AI software is capable of accurately detecting data including age, blood pressure, and whether or not they smoke and more. Furthermore, this can also detect the risk of a person suffering a major cardiac event with roughly more or less the same accuracy as current leading methods. the algorithm is said to make it simple for doctors to analyze a patient’s cardiovascular risk since it doesn't require a blood test. However, even before this software is implemented, it needs to be tested for accuracy and perfected. Google says that using the deep learning algorithms trained on data from over 284,335 patients, it was able to predict CV risk factors from retinal images which also included eye scans as well as general medical data.The company claims that the algorithm was able to distinguish the retinal images of a smoker from that of a non-smoker 71% of the time. Neural networks were used to mine this information for patterns, learning to associate telltale signs in the eye scans with the metrics ...
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Tuesday, 20 February 2018
Google’s new AI algorithm can predict heart disease through retina scan
Google has announced its new AI algorithm that can detect heart diseases by retina scanning. Scientists from Google and its subsidiary health tech Verily claim that by deep scanning of a patient’s eye, the newly developed AI software is capable of accurately detecting data including age, blood pressure, and whether or not they smoke and more. Furthermore, this can also detect the risk of a person suffering a major cardiac event with roughly more or less the same accuracy as current leading methods. the algorithm is said to make it simple for doctors to analyze a patient’s cardiovascular risk since it doesn't require a blood test. However, even before this software is implemented, it needs to be tested for accuracy and perfected. Google says that using the deep learning algorithms trained on data from over 284,335 patients, it was able to predict CV risk factors from retinal images which also included eye scans as well as general medical data.The company claims that the algorithm was able to distinguish the retinal images of a smoker from that of a non-smoker 71% of the time. Neural networks were used to mine this information for patterns, learning to associate telltale signs in the eye scans with the metrics ...
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