An intriguing 2020 study suggests that in the future, sending a selfie to your medical provider could be an easy, low-cost way to screen people for coronary artery disease (CAD) without a medical exam. This landmark research is the first to show that a deep learning computer algorithm can identify patients with CAD by analyzing four photos of the person’s face. In the study, the algorithm was 80 percent accurate when tested on more than 1,013 Chinese patients who also underwent heart scans. While further large-scale research is needed to see if this tool is equally reliable in ethnically diverse populations, in the study it outperformed conventional methods of predicting heart attack and stroke risk.
Previous research shows that there’s a lot you can learn about your cardiovascular health simply by looking in the mirror or at a selfie. Here’s a look at some surprising physical clues that can signal increased risk for heart disease and its many complications, including heart attack and stroke. Alert your healthcare provider if you have any of them and discuss being evaluated with the BaleDoneen Method.
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