Synopsis of recent research by authors named "James W Goldfarb"
James W Goldfarb's research primarily focuses on cardiovascular imaging, particularly the utilization of magnetic resonance imaging (MRI) and computed tomography (CT) to assess cardiac conditions and predict patient outcomes.
His recent studies include the development of a machine learning algorithm for predicting left ventricular diastolic dysfunction, as well as an analysis of trends in angiography utilization among Medicare beneficiaries, highlighting shifts before and during the COVID-19 pandemic.
Goldfarb's work also encompasses the exploration of advanced imaging techniques, such as assessing myocardial extracellular volume and the effects of supplemental oxygen on MRI measurements, showing a commitment to enhancing diagnostic capabilities in cardiovascular medicine.
