Researchers from Pennsylvania trained artificial intelligence to predict the likelihood of a person dying within a year, after reading the patient's electrocardiogram (ECG).

In the course of the work, the scientists provided artificial intelligence with ECG data for 400 thousand patients. In total, AI received records of 1.77 million ECGs that were taken from patients at different times of the day to find out patterns that could indicate future heart problems, including the likelihood of a heart attack and atrial fibrillation.

According to the results of the study, the AI model showed better results than all the methods existing today that can distinguish patients whose risk of death increases during the year from those who are not at risk of death. Moreover, AI revealed heart problems in those patients who had previously been treated by cardiologists.

During the study, a team of specialists provided AI data in two different ways. According to nanonewsnet.ru, at first the algorithm could familiarize itself with the raw ECG results, by which it was possible to track changes in the cardiogram over time. In another case, the researchers provided ECG data indicating the age and gender of the patients.

AI accurately predicted the risk of death even in people whose ECG results are considered normal by cardiologists. Three cardiologists who separately studied the ECG of patients failed to identify the risk detected by AI. Thus, the model developed by specialists sees things that are not available to doctors today. Scientists note that doctors could misinterpret some of the things for decades.

Note that last year, researchers from Google in Mountain View, California, created a predictive model that uses electronic medical records to predict the length of the patient’s stay in the hospital and the time of discharge as well as the time of death. Moreover, different AI models have also been used to diagnose cardiovascular disease and lung cancer. In some cases, the diagnosis of AI was more accurate than the diagnosis of doctors.

nanonewsnet.ru,