Unfortunately, most deaths today are due to heart attacks. This situation, which happens to men more than women, can be diagnosed in advance thanks to developing technology and developed artificial intelligence. Scientists announced that they have developed an artificial intelligence technique that can detect plaque erosion in the heart arteries, giving hope to both the scientific world and the whole humanity.
In the past months, an artificial intelligence has been developed that can predict when the heart will stop. It is clear how much the artificial intelligence used in this and similar health problems will contribute to humanity in the future. The development of artificial intelligence in medicine, which has been experienced recently, has given hope to the whole world. It has been announced that with the new artificial intelligence technique that can detect plaque erosion in the heart arteries, it will be possible to detect heart diseases in advance and will provide great convenience in the development of new treatments.
In the statement made by Zhao Wang, the team leader of the research conducted at the University of Electronic Science and Technology of China, it was stated that if the plaques covering the arteries are worn, the blood flow to the heart will be blocked. He stated that the new method they developed can be used in the clinical diagnosis of the condition in question and in new treatments. In addition, he emphasized that the artificial intelligence system correctly predicted 80 percent of the cases.
DETECTION OF THE DISEASE WILL BE EASIER
It was said that the breakdown of the plaque in the heart arteries is of great importance, as it is a marker of heart attack and other serious heart diseases. According to the statement, this artificial intelligence technique will use optical coherence tomography (OCT) images to monitor arterial plaque. OCT, one of the optical imaging techniques, will provide 3D pictures of the coronary arteries that carry blood to the heart muscles.
The OCT technique used to detect plaque erosion was challenging due to inter-observer variability in interpretation and the volume of data produced. To solve these problems, scientists introduced the OCT technique to artificial intelligence to identify plaque erosion. This method is not yet available, but studies are underway to further develop it and make it ready for use.
