Title: Circle Cardiovascular Imaging - AI in Cardiac Imaging Abstract: The heart is a complex and dynamic organ. To perform clinical assessment and diagnose clinical diseases, cardiologists often employ a wide array of medical imaging and tests including ECG, echocardiogram, MRI, and CT scans. Quantitative assessment of biomarkers extracted from such tests is the key to determining cardiovascular health. Accurate extraction of clinical biomarkers from a wide array of imaging modalities (each of which only provides a partial glimpse of the big picture on its own) is a daunting, time-consuming, and therefore expensive task. In this presentation, we will demonstrate how Circle Cardiovascular Imaging has successfully leveraged machine learning techniques to automate the clinical workflow. Presenter: Alborz Amir-Khalili Bio: Alborz is the Lead Machine Learning Software Engineer at Circle Cardiovascular Imaging based in Calgary, Canada. He holds a Ph.D. in Biomedical Engineering from the University of British Columbia and has previously worked on the application of machine learning and image processing in robot-assisted interventions, vascular imaging, and brachytherapy.
Tags: canada , healthcare , Health care , canadian , Health Care (Issue) , innovation , cardiology , Calgary , ai , artificial intelligence , Alberta , Alberta Health Services , Jesse Tutt , Alborz Amir , Circle Cardiovascular Imaging , Cardiac Imaging
See also:
 Artificial Intelligence (AI) CoP - AI in Cardiac Imaging&p[summary]=Alberta Health Services (AHS) Artificial Intelligence (AI) CoP - AI in Cardiac Imaging&p[url]=https://www.mainstreamvlog.com/video/19651/alberta-health-services-ahs-artificial&p[images][0]=https://cdn-img01.mainstreamvlog.com/images/2-m/196/19651.jpg){kind=link}
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