AI will monitor for heart complications after chemotherapy

Sechenov University researchers have proposed an original remote monitoring method for diagnosing heart complications in patients undergoing chemotherapy.

Doctors installed portable electrocardiographs for patients, which transmitted data to doctors 20 times a day. The readings were automatically processed by a specially developed machine learning algorithm. Its pathology detection accuracy was 89.3%.

"The diagnostic accuracy of the created model using single-channel remote ECG monitoring is 89.3%. Its implementation in the existing standards of therapy could significantly reduce mortality and prevent serious complications. If violations are detected in a timely manner, a more appropriate treatment regimen can be selected, medications that protect the heart can be used, and the patient can be monitored more closely. There are many ways to help a patient, the main thing is to find out in time that he needs help," said Philip Kopylov, director of the Institute of Personalized Cardiology.

According to statistics from the Institute of Personalized Cardiology at Sechenov University, almost half of cancer patients develop complications from the cardiovascular system after the first course of chemotherapy.

Read more in the exclusive Izvestia article:

Neural network of clinics: AI will monitor heart complications after chemotherapy