Lars Svensson, MD, PhD

Svensson, a prominent voice in cardiothoracic surgery, said he has seen a rise in enthusiasm ahead of this year's meeting.

Video of James Januzzi explaining the results of a new diabetic cardiomyopathy treatment in ACC 2024 late-breaking ARISE-HF trial. #ACC #ACC24 #ACC2024

James Januzzi Jr., MD, said the treatment's overall impact was neutral, but he and his team saw "a very clear and encouraging signal."

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.

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

doctor examines patient data on their tablet

Researchers asked ChatGPT to make treatment decisions for patients with severe aortic stenosis, comparing its answers to the recommendations of a full heart team. 

Innovation at work

Munster, Indiana, is a thriving suburb 30 miles south of the heart of Chicago. It’s a place where the locals like to stay local, especially when it comes to healthcare. Patients in the area often turn to 454-bed Community Hospital, one of three acute-care hospitals part of Community Healthcare System. 

Sponsored by Shockwave Medical

Around the web

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.

Kate Hanneman, MD, explains why many vendors and hospitals want to lower radiology's impact on the environment. "Taking steps to reduce the carbon footprint in healthcare isn’t just an opportunity," she said. "It’s also a responsibility."