I.m. Sechenov First Moscow State Medical University

This study tests whether 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 predictions against standard imaging tests in 400 adults. If successful, …

This study is testing whether a simple, 1-minute heart recording (ECG) analyzed by a computer can help detect pulmonary embolism, a serious blood clot in the lungs. Researchers will enroll 500 adults who need to be checked for this condition. The goal is to see if this quick, non…

This study will enroll 5000 adults to see if a one-minute, single-lead ECG, analyzed by machine learning, can detect heart conditions like high blood pressure, heart failure, and diabetes. Participants will have their ECG recorded twice and compared with full medical exams. The g…

This study will test a new computer program designed to help doctors make better decisions for patients with high cholesterol and heart disease. Researchers will review the medical records of 500 adults and compare the program's recommendations to what doctors actually prescribed…

This study aims to see if artificial intelligence can predict serious heart rhythm problems, like atrial fibrillation, after high-risk surgeries. Researchers will record ECGs from 300 adults before surgery and analyze over 200 heart cycle parameters to find the best prediction me…