There have been various studies that have been conducted so far in order to understand the concept of facial features. These facial features are associated with the risks of coronary artery disease. They have been various provisions that have been made so far in order to understand the concept and effects of deep learning ideas in the best possible manner. Therefore, a multicenter cross-sectional study was conducted comprising the population from different sections of the people altogether. There have been coronary angiography or computed tomography. These techniques are usually practiced around the areas of china and hence, every possible effort is made in order to ensure that the results are spread in the widest possible manner. There were results that proved that over 95 percent of the people were influenced from these deep learning ideas. Therefore, the results proved that the deep learning consortium which was based on the facial features was known for holding pre-test CAD probability assessment in outpatient clinics.
Ref art: https://academic.oup.com/eurheartj/advance-article/doi/10.1093/eurheartj/ehaa640/5895010
