Study: Artificial Intelligence exceeds people in the analysis of heart control

An important study has shown that artificial intelligence is better than people in the long -term analysis of heart rhythm, in a step that increases the increasing efforts to rely on advanced technology in the practice of human medicine. The researchers wrote in the study published in the “Nature Medicine” journal that the human heart beats up to 120 thousand times a day, so is the analysis of the ECG (ECG), which may have recorded the pulse for days or weeks. Using records of 14 thousand and 606 patients who, on average, places the heart drawing devices for 14 days, the researchers first assessed data recorded by human technicians using standard methods. They analyzed the data with the help of an artificial intelligence algorithm known as ‘deep rhythm ai’ developed by the Polish Medicalgorithmic Company for this task. The researchers found that technicians do not monitor serious heartbeat with 4.4% of patients, compared to only 0.3% of patients using artificial intelligence. The study showed that the artificial intelligence model was able to exclude extreme irregular heartbeat with a 99.9% rate in registration of the heart draw for 14 days. Linda Johnson, the principal researcher in the study, who works at Lund University in Sweden, said in a statement: “The lack of employees trained to analyze the so -rounded electrical planning while walking leads to a large dilemma in health care around the world, and at the same time patients will benefit as we have more electrical planning records while not. ” “We believe that artificial intelligence can solve this problem,” she added. Artificial intelligence and heart disease and involvement of artificial intelligence to contribute to the processes of treatment and monitoring of heart disease. The thoughts of researchers at the moment, and in early February, a recent study, presented at the Mother and Braai Medicine Association in the US state of Colorado, showed the role of artificial intelligence in improving the ability of doctors to discover innate heart defects during routine -ul rates during pregnancy. In that study, 14 doctors who specialize in gynecology, obstetricity, mother and fetus medicine, experiences between a year to more than 30 years, have 200 photos of ultrasound, with and without using an advanced artificial intelligence program. The results showed that the program significantly implemented the ability of doctors to discover suspected cases, regardless of their experiences or specialties, as well as the confidence of doctors in the discovery of these defects, and the time they took to determine whether the condition was injured or not. The study highlights the important role that artificial intelligence can play in improving prenatal health care, especially in the field of congenital defects that can be life -threatening. These results are expected to lead to changes in clinical practices, as artificial intelligence can become a standard instrument in routine pregnancy tests. The researchers said that artificial intelligence with the increasing dependence on technology in the medical field can contribute to reducing gaps in healthcare, especially in areas suffering from a lack of specialists, and can also help improve birth results through early diagnosis and rapid intervention.