A new image-based algorithm uses artificial intelligence (AI) to analyze a person's facial photos to detect and determine the possibility of having a heart-related illness. Initial consultations and check-ups could be simplified for heart-disease patients because the AI can give a preliminary assessment to determine the next step.
A group of Chinese researchers discovered a way to create a deep learning algorithm aimed at analyzing a person's facial photograph and detecting whether there are signs of progressing heart disease.
The European Society of Cardiology recently published a press release that elaborates more on the Chinese researchers' work towards determining heart diseases. 'Selfies' could now be used as a means and ways for a cheap and simple analysis of a possible ailment of the human heart.
The algorithm is primarily focused on detecting coronary artery disease or CAD, the most common form of heart disease known to man. CAD is currently the leading cause of death amongst American citizens in both men and women.
This disease results from the hardening of arteries that prevent blood circulation from flowing to the heart muscle and the rest of the body. Cholesterol and plaque buildup mainly causes this disease inside the arteries and stop the right flow of blood from within.
CAD is a disease that can weaken the heart's muscle and even cause it to fail.
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Written by Isaiah Alonzo
