Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
Researchers asked ChatGPT to make treatment decisions for patients with severe aortic stenosis, comparing its answers to the recommendations of a full heart team.
The three-day event will include sessions about sexual activity among heart patients, depression, energy drinks, stimulants, vaccines and more. The festivities begin Thursday, April 25, in Greece.
“The alleged conduct of this physician is so egregious, only the permanent revocation of his license could adequately protect the public from the risks posed by his return to practice," one official said.
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.
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."
![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.](/sites/default/files/styles/stack_views/public/2024-04/screen_shot_2024-04-23_at_10.44.32_am.png.webp?itok=vXt3hxDo)
![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.](/sites/default/files/styles/top_stories/public/2024-04/screen_shot_2024-04-23_at_10.44.32_am.png.webp?itok=O8wgPFEZ)
