Recently scientists have been able to combine artificial intelligence and machine learning in order to help detect and predict patterns of heart disease in a person. This procedure is non-invasive, because it involves the use of cameras to observe the blood vessels behind the eyes of a patient, and then, judging from previously observation patterns from other people (Databases), the program is able to predict the trajectory of a patients heart health throughout their lives. This method is more efficient than other methods of testing for heart disease, because the results come back faster and it is non-invasive (less harmful to the body). By looking at the changes in pressure and flow of the blood vessels behind a patients eyes, the machine is able to help provide the health of your heart, so preventative measures can be taken early on. This is ultimately also help lower the expense of healthcare, because preventative measures are less expensive than that of measures taken when heart disease is in its later stages.
https://www.everydayhealth.com/heart-health/google-develops-artificial-intelligence-assess-heart-health/
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