Microscopic camera and artificial intelligence .. a new way to predict heart attacks

A recent study has shown that the use of a microscopic camera with a high -resolution and artificial intelligence techniques can expect a second heart attack with accuracy that exceeds traditional methods. The heart attack occurs when the coronary artery that feeds the heart with blood due to a blood clot often occurs due to the accumulation of fatty deposits known as the atherosclerosis, and the usual treatment in this case; It is a balloon meter to reopen the artery, and then install a small pillar to maintain the blood flow. But the problem is that 15% of patients are exposed to another seizure within two years after the first, which is very important for predicting fragile areas within the veins. The new study has reached an advanced method to diagnose heart disease, using an exact camera based on optical tomography technology and advanced artificial intelligence algorithms. The study was conducted by the technical doctor, Jos Thanhauser, and his colleague Rick Volberg, researcher at the Medical Center at the Dutch University of Radbod, and the research team examined the veins of 438 patients by the technique of consensual visual tomography, which depends on the nearby infrared to insure the arching with microscopic accuracy, but the stent is placed. Often limited only at the place of the clot. And when an investigation is conducted using optical tomography, the result is not a single simple image, but hundreds of micro images that represent rows of the artery along the hallway, and each image reveals a very sensitive microscopic details, such as the thickness of the artery wall, sediments or even microscopic cracks that can be the beginning of a dangerous stroke. But this tremendous abundance of information is a major challenge in itself; The interpretation of each investigation requires hundreds of photos with accurate, which exhausts the time of doctors, and requires a great human effort. Even in the most experienced centers, manual analysis becomes almost impossible, and it remains vulnerable to human error and the difference in appreciation from one doctor to another. Therefore, the researchers used artificial intelligence, which is characterized by a tremendous velocity that exceeds people’s ability; He is able to process hundreds of photos within a few seconds or minutes, while the doctor needs long hours to perform the same task, especially as this speed is not just a technical advantage, but it may be a decisive factor to save the life of a patient who needs an urgent decision. Artificial intelligence allows arterial investigation in detail instead of being satisfied with limited areas; The doctor often focuses on parts that look suspicious or interesting, while the smart system accurately takes care of all the cuts, which increase the chances of discovering accurate problems that can be absent from the human eye. The researchers said that relying on artificial intelligence contributes to reducing costs and time, explains that smart systems, instead of taking out expensive working hours for a team of doctors, can provide a comprehensive initial analysis, allowing doctors to direct their time to make treatment decisions. Artificial intelligence provides consistent results that are not influenced by human factors such as fatigue or different experience, making the diagnosis more accurate and reliable in different medical centers. In this study, artificial intelligence managed to analyze the entire artery instead of being satisfied with one part, opening the door for a comprehensive and accurate evaluation of the areas most vulnerable to a new blockage or repeated heart attack. The study showed that artificial intelligence discovered fragile spots in the artery wall with the same efficiency of specialized laboratories, and even exceeded them within two years to expect a heart attack or death. “If we already know a high risk plate, we can give the patient more precisely in the future, or even install preventative support before the disaster occurs,” Volberg said. Despite the promising results, researchers expect this technique to take a few years in medical practice, after testing its safety and efficacy more.