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 improves CT assessments, boosts care for real-world heart patients
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
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.
CT procedure shown to reduce need for invasive cardiac testing
In a study, CT-FFR was shown to reduce the need for invasive tests to measure coronary artery blockage from 74.5% to 25.5%.
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, radiology groups urge insurance provider to rethink imaging policy
SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound.

As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms needs to undergo quality assurance (QA) reviews. How to validate radiology AI? How can you validate medical imaging AI?

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Increased use of CCTA improves CAD outcomes without raising costs

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Subtraction boosts CCTA accuracy, even in the presence of extensive calcium

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Simulations help 'accelerate the TEE learning curve' for cardiology trainees

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The Shimadzu Trinias SCORE Opera Angiography system at RSNA 2022. It offers dose lowering technologies and workflow efficiencies. #RSNA #RSNA22

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Cardiovascular Business

AI improves CT assessments, boosts care for real-world heart patients

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Cardiovascular Business

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.

Radiology Business

Google teams with Bayer to address radiologist burnout via AI

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.

Cardiac Imaging

AI improves CT assessments, boosts care for real-world heart patients

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

CT procedure shown to reduce need for invasive cardiac testing

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

Cardiology, radiology groups urge insurance provider to rethink imaging policy

Around the web