I.m. Sechenov First Moscow State Medical University

This study aims to see if a simple, 1-minute electrocardiogram (ECG) analyzed by artificial intelligence can accurately detect significant blockages in the heart's arteries. Researchers will compare the AI's results from 400 adults (half with known blockages, half without) agains…

This study explores whether a single-lead electrocardiogram (ECG) combined with machine learning can help screen for pulmonary embolism (a blood clot in the lungs). Researchers will enroll 500 adults who need testing for this condition. They will record a 1-minute ECG and analyze…

This study aims to see if a single-lead electrocardiogram (ECG) analyzed by machine learning can screen for heart conditions, diabetes, and chronic kidney disease. Researchers will enroll about 5000 adults who have already had a full medical exam. They will record a 1-minute ECG …

This study aims to see if artificial intelligence can predict serious heart rhythm problems in people having high-risk surgeries, such as heart, lung, or liver operations. Researchers will use a portable ECG device to record heart signals before surgery and analyze over 200 diffe…

This study will test a computer program designed to help doctors make better decisions when treating patients with high cholesterol and related heart risks. Researchers will compare the program's recommendations to what doctors actually prescribed for 500 patients. The goal is to…