Artificial Intelligence in Cardiovascular Imaging
Mayo Clinic’s Dr. Tim Leiner will speak at the April NCI Imaging and Informatics Community Webinar (IICW). Here he’ll discuss how machine learning, especially deep learning, holds great promise in improving patient care.
In certain situations, algorithms identify abnormalities in clinically acquired images better than fellowship-trained radiologists. However, broader applications beyond image analysis must be considered, such as patient selection and examination scheduling, image acquisition and reconstruction, using image data for prognostic purposes, and combining image data with information from electronic health records, laboratory, and genetic data. Some of the methods presented will have applications in cardiac evaluation of patients undergoing cancer immune- or chemo-therapies.
Additionally, for algorithms to be broadly accepted, clinicians must be able to explain the results. Clinical deployment and workflow should be considered when designing and bringing the algorithm to clinical practice.
In this webinar, Dr. Leiner will address these considerations from a cardiovascular imaging perspective.
Both the Center for Biomedical Informatics and Information Technology and the Cancer Imaging Program organize the monthly NCI IICW. During the first Monday of every month, this event features scientific presentations and project updates. To receive updates on future topics and to access previous presentations and recordings, visit the IICW webpage.
This event is free and open to the public.
Dr. Leiner is a radiology professor and a cardiovascular radiologist at Mayo Clinic and a radiology professor at Utrecht University Medical Center, Utrecht, The Netherlands. His research interests center around developing machine learning imaging techniques to improve the detection and characterization of cardiovascular disease.
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