The range of artificial intelligence (AI) applications is becoming more and more extensive, and now it is more important to introduce medical fields to help doctors make more accurate diagnosis! Scientists have developed a set of AIs that analyze blood samples and cardiac images to identify signs of organ failure, thereby predicting the risk of death in heart disease patients to find the most effective treatment. The team plans to expand testing in more medical institutions. It is necessary to benefit more patients in the future.
Technology is first applied to "pulmonary hypertension" to make doctors judge more accurately
The team from the British Medical Research Council published the latest medical technology software in the Journal of Radiology. The research team scanned the heart of 256 patients and built a virtual heart image and blood test data for each patient through magnetic resonance imaging (MRI) combined with 3D software. AI can quickly diagnose the disease. Suffering from the characteristics of the heart.
The team first applied this technique to the treatment of pulmonary arterial hypertension, which causes a high level of resistance to blood flow to the lungs due to changes in the structure of the pulmonary vasculature, causing an increase in intrapulmonary circulation pressure. The pressure on the heart is increased. More than 7,000 people in the UK are deeply affected by the disease, and about one-third of patients die within 5 years of diagnosis.
Current treatments for pulmonary hypertension include drugs, vascular injections, lung transplants, etc., but the key is that the doctor must know exactly how much time the patient has left before he can choose the treatment. Therefore, by AI predicting the patient's heart state, the doctor can be more Make accurate judgments. Dr. Tim Dawes of the Research Council said: "Computers can quickly analyze data from cardiac imaging, blood tests, and other data, and the process is uninterrupted by humans."
Our goal is to find the best treatment plan to make patients live longer through better predictions. ─ Doctor Tim Dawes
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