Computed Tomography

Cardiac computed tomography (CT) has become a primary cardiovascular imaging modality in the past 20 years, and was recommended as a 1A recommendation in the 2021 chest pain assessment guidelines. CT calcium scoring has became a primary risk assessment for coronary artery disease and whether patients should be on statins. Coronary CT angiography (CCTA) is used to for anatomical assessment of the arteries for plaque burden and to identify areas of blockage that may cause ischemia and heart attacks. Additional use of contrast CT perfusion or fractional flow reserve CT (FFR-CT) can offer physiological information on the function of the heart. CT plays a primary role in structural heart assessments for heart valves, repair of congenital defects and left atrial appendage occlusion (LAAO) for both pre-procedure planning and procedural guidance. Find more news on general radiology CT use.

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
First-in-human trial shows potential of guiding CABG with cardiac CT and AI—no ICA required
An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFR_CT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data.
Cardiology now has more than 100 FDA cleared AI algorithms; experts say that is just the beginning
Cardiology makes up 10% of the 692 market-cleared clinical AI algorithms in the FDA’s latest update on the number of patient-facing AI now commercialized in the U.S. Experts share their thoughts on how it is being used.
Deep learning in cardiovascular imaging: 4 key takeaways for cardiologists
More and more AI algorithms are being trained to learn, think and act like a human physician. What does this mean for the future of cardiovascular imaging as time goes on?
FDA clears AI-powered image reconstruction technology for cardiac CT scanners
The new technology, trained using more than 3 billion data points, was designed to reduce image noise and improve the overall quality of CT scans.

Advanced artificial intelligence (AI) models can evaluate cardiovascular risk in routine chest CT scans without contrast, according to new research published in Nature Communications.[1] In fact, the authors noted, the AI approach may be more effective at identifying issues than relying on guidance from radiologists. Representative non-contrast CT slices for two patients (left), with super-imposed segmentations (right). One artificial intelligence (AI) model was used to segment a cardiac mask.

AI predicts cardiovascular risk during CT scans—no invasive tests or contrast required

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.

April 23, 2024

First-in-human trial shows potential of guiding CABG with cardiac CT and AI—no ICA required

An independent heart team blinded to ICA results was able to deliver helpful guidance for CABG procedures for 99.1% of patients using just CCTA and FFR_CT alone. This approach is safe and feasible, researchers wrote, and the next step is to gather additional data.

April 10, 2024

Example of a totally AI driven echocardiography workflow on the new Siemens Origin ultrasound system unveiled in 2023. The AI did all the work on this screen, taking a 3D echo exam and automatically segmenting the anatomy, contoured all the chambers, found the ideal views to display and then calculated all the measurements in seconds. Photo by Dave Fornell at TCT 2023.

Cardiology now has more than 100 FDA cleared AI algorithms; experts say that is just the beginning

Cardiology makes up 10% of the 692 market-cleared clinical AI algorithms in the FDA’s latest update on the number of patient-facing AI now commercialized in the U.S. Experts share their thoughts on how it is being used.

December 14, 2023

Deep learning in cardiovascular imaging: 4 key takeaways for cardiologists

More and more AI algorithms are being trained to learn, think and act like a human physician. What does this mean for the future of cardiovascular imaging as time goes on?

November 21, 2023

Arineta Cardio Imaging, a healthcare company based in Israel, gained clearance from the U.S. Food and Drug Administration (FDA) for the deep learning image reconstruction (DLIR) technology used in its SpotLight cardiovascular CT scanners. Arineta Cardio Imaging cardiovascular CT scanners AI.

FDA clears AI-powered image reconstruction technology for cardiac CT scanners

The new technology, trained using more than 3 billion data points, was designed to reduce image noise and improve the overall quality of CT scans.

November 20, 2023

An example of HeartFlow's new RoadMap Stenosis software that uses artificial intelligence (AI) to show areas of interest for possible stenting based on a patient's CT scan and FFR-CT. This software is still undergoing beta testing at several hospitals and will likely be rolled out commercially later in 2023.

Cardiology has embraced AI more than most other specialties

Cardiology is linked to the second largest group of FDA-cleared clinical AI algorithms, and the number is still growing.

May 12, 2023

An example of the FFR-CT technology from Heartflow. The vendor's AI can take a patient's cardiac CT scan and non-invasively assess FFR hemodynamic flow for all the coronary arteries to determine if blockages are significant enough to require revascularization. Photo by Dave Fornell

HeartFlow raises $215M to keep up with growing demand

The company is still riding the momentum of its technology being included in the 2021 American College of Cardiology/American Heart Association chest pain guidelines.

April 7, 2023

AI-powered CCTA outperforms usual care when evaluating stable chest pain

The new study, presented at the AHA Scientific Sessions 2022 conference in Chicago, focused on data from more than 2,000 patients.

November 7, 2022

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