Cardiac Imaging

While cardiac ultrasound is the widely used imaging modality for heart assessments, computed tomography (CT), magnetic resonance imaging (MRI) and nuclear imaging are also used and are often complimentary, each offering specific details about the heart other modalities cannot. For this reason the clinical question being asked often determines the imaging test that will be used.

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.
AI helps cardiologists deliver personalized healthcare—but there is still plenty of work to do
A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.
Cardiologists partner with imaging AI specialists to improve care for high-risk heart patients
The new collaboration is designed to ensure patients who may face an increased risk of heart disease receive the follow-up care they need.
AI models for cardiac amyloidosis could make a world of difference
Jeremy Slivnick, MD, spoke with Cardiovascular Business about AI's potential to transform how cardiac amyloidosis is diagnosed and treated.

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

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

AI helps cardiologists deliver personalized healthcare—but there is still plenty of work to do

A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.

March 7, 2024

Cardiologists partner with imaging AI specialists to improve care for high-risk heart patients

The new collaboration is designed to ensure patients who may face an increased risk of heart disease receive the follow-up care they need.

February 29, 2024

Jeremy Slivnick, MD, presents at the American Society of Echocardiography (ASE) 2023 meeting on how artificial intelligence (AI) can help make echocardiography better able to detect subtle signs of early cardiac amyloid disease when it is easier to treat with better outcomes. ssistant professor of medicine and an advanced cardiac imager at the University of Chicago.

AI models for cardiac amyloidosis could make a world of difference

Jeremy Slivnick, MD, spoke with Cardiovascular Business about AI's potential to transform how cardiac amyloidosis is diagnosed and treated.

January 30, 2024

Craig Sable Children's National Hospital AI echo

AI spots signs of rheumatic heart disease in echocardiograms as well as cardiologists

Researchers think this represents a potential breakthrough for low- and middle-income countries where access to high-quality imaging evaluations is still limited.

January 18, 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

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