Researchers have trained a new AI model to read routine medical images and deliver accurate cardiovascular age assessments.

Damodhar Suresh, MD, spoke to Cardiovascular Business about some of the biggest studies presented during the annual ESC conference in Munich, Germany. 

At Mass General Brigham, advanced algorithms help clinicians spend more time focused on what matters most.

Researchers found that photon-counting CT delivered post-TAVR imaging findings comparable to transthoracic echocardiography—no sedation required. 

The new ASNC document includes detailed SPECT- and PET-specific protocols, patient preparation recommendations and a fresh look at safety.

3D models can improve the visualization of challenging cardiac anatomy in addition to supporting clinical decision-making, education and procedural planning.

The team behind this new meta-analysis reviewed data from more than 24,000 patients with a mean age of nearly 65 years old. They identified several benefits to choosing intravascular imaging guidance during PCI over traditional angiography alone.

Getting nurses and technologists more involved is a smart way to ensure new cardiac CT programs deliver the safest, most effective patient care possible.

The new software from Tennessee-based Heartvue.ai uses advanced AI algorithms to view, process and evaluate cardiac MRI scans. It was built to work with any existing cardiology or radiology workflow.

“It’s not just about scanning,” one specialist explained. “You need to have everything come together.”