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VIDEO: Artificial Intelligence to Automate CT Calcium Scoring and Radiomics

Artificial Intelligence | August 12, 2020

Todd Villines, M.D., FACC, FAHA, MSCCT, explains how artificial intelligence (AI) might be used in the near future to automatically calculate CT calcium scoring and radiomic feature assessments. This was a key take away during the Society of Cardiovascular Computed Tomography (SCCT) 2020 virtual meeting. 

Villines is the Julian Ruffin Beckwith Professor of Medicine, Division of Cardiovascular Medicine, University of Virginia, editor-in-chief of the Journal of Cardiovascular CT (JCCT),  and SCCT past-president.

AI is already commercially used to improve CT image reconstruction to increase the diagnostic quality of the images, especially from low-dose scans. AI is now being applied to automate time-consuming tasks in CT image reads, such as manually calculated calcium scores and automated contouring and quantification of anatomy and function of the heart.

Another area that is seeing a lot of research in in radiomics, where AI is being used to sift through thousands of CT scans to look for subtle imaging traits that may indicate the early development or worsening of disease. These subtle changes may not be evident to radiologists reading the scans, but AI software can identify similarities in patients as a trend and alert researchers to look at that specific trait as a potential imaging biomarker.

 

Other Key Trends and Technology at SCCT:

Top 9 Cardiovascular CT Studies in Past Year 

VIDEO: Photon Counting Detectors Will be the Next Major Advance in Computed Tomography

VIDEO: Increased Use of Cardiac CT During the COVID-19 Pandemic

VIDEO: Key Cardiac CT Papers Presented at SCCT 2020

Low-attenuation Coronary Plaque Burden May Become Next Big Cardiac Risk Assessment

Impact of Cardiac CT During COVID-19

VIDEO: Artificial Intelligence to Automate CT Calcium Scoring and Radiomics

 

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