Dr. Muradyan is currently involved in research and development of better approaches to obtain diagnostic quality cardiac MRI and ECG during MRI.

"One of the areas of diagnostic medicine, where AI (ML specifically) is having a profound influence is MRI. It has been used in nearly all of its aspects: from optimizing the data collection, to image reconstruction, to segmentation, feature and anomaly detection. Dr. Muradyan will provide a short review of the state of the art in research of AI in MRI and details on its use in cardiac magnetic resonance (CMR), where Machine Learning, showed significant promise in improving current approaches.

Cardiovascular diseases (CVDs) are claiming the greatest number of lives globally. According to WHO, nearly a third of all deaths globally are due to CVDs (~18 million people annually)! This is a global problem and it affects all countries, independently of their demographics and socio-economic status. Thus, one of the main directions, seeing application of any new technological development is to address CVDs. This can be done through earlier detection of the disease (diagnostics), quicker and better evaluation of the effects of treatment, etc.

The focus of this talk is use of MRI to address some of the problems surrounding the diagnostic aspects of CVDs and how AI can aid in obtaining better outcomes for patients. Here Dr. Muradyan will present the current clinical approaches to cardiac MRI, outline the problems and review some of the solutions that have been recently developed in research community. In particular Dr. Muradyan will outline the work she does with Mirtle Medical LLC, a medical device company producing 12-lead MRI-compatible electrocardiograph. Currently they are working on two problems: removing the effects of MRI environment from ECG signals for patient monitoring during MRI; and improving the reliability of cardiac beat detection and ECG-triggering inside MRI scanners."