Professional Associations

This page includes news coverage of medical associations and medical societies. Use these links to find focused news coverage from specific organizations: Cardiology Associations, Healthcare Associations, Radiology Associations.

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CT coronary artery calcium (CAC) scoring, also known as the Agatston score, to assess the risk a patient has for future heart attacks and help decide if a patient requires statins.

VIDEO: Current guidelines for the use of CT calcium scoring in preventive cardiology

Mike Shapiro, DO, MD, director of the Center for Prevention of Cardiovascular Disease at Wake Forest University, discusses the current guidelines for computed tomography (CT) calcium scoring as a screening test to assess heart attack risk.

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How patient-reported physical and mental health affect coronary artery disease outcomes

Using patient-reported health scores may be able to help guide treatment decisions for patients presenting with coronary artery disease.

AI cardiology Cleerly soft plaque assessments

Cardiology startup raises $192M for AI-powered imaging assessments

The company has now raised $248M in total to help develop, commercialize and market its FDA-cleared technology. 

Examples of new cardiac CT technologies at the 2022 SCCT meeting. Top left clockwise, realistic 3D rendering inside the heart, the GE Revolution Apex scanner, Cleerly's AI automated soft plaque assessment, and CT strain imaging from Medis. #SCCT #SCCT2022 #YesCCT #CTA #CCTA, new computed tomography technology

PHOTO GALLERY: Cardiac CT advances at SCCT 2022

View a variety of images from the 2022 Society of Cardiovascular Computed Tomography (SCCT) meeting in Las Vegas.

What new research tells us about the significant heart damage associated with COVID-19

“We found direct evidence that the SARS-CoV-2 spike protein is toxic to heart muscle cells," one researcher said. 

Example of a patient's coronary tree extracted from a cardiac CT scan. CT allows very detailed anatomical imaging and now physiological and plaque information that can be useful in pre-planning interventional procedures. Imaging from the GE Revolution Apex system at SCCT 2022.

VIDEO: CT imaging to plan coronary interventions — Interview with Jonathon Leipsic, MD

Jonathon Leipsic, MD, chairman of the Department of Radiology, University of British Columbia, explains how noninvasive computed tomography angiography (CTA) can be used to aid in planning interventional cardiology procedures for percutaneous coronary intervention (PCI) and chronic total occlusions (CTO). 

AI-generated coronary tree from a patient's CT scan showing a color code of areas of interest for plaque burden from the Cleerly software shown at SCCT 2022.

VIDEO: Why plaque composition CT imaging may be the future of cardiology

Former European Society of Cardiology president Prof. Jeroen Bax explains the difficulty in quantifying these plaques manually and how artificial intelligence may change this to allow rapid, detailed quantitative analysis. 

Left, coronary CT angiography of a vessel showing plaque heavy calcium burden. Right, image showing color code of various types of plaque morphology showing the complexity of these lesions. The right image was processed using the FDA cleared, AI-enabled plaque assessment from Elucid.

Cardiac CT soft plaque assessment may offer paradigm shift for coronary disease screening

New artificial intelligence software that can evaluate coronary CT scans to automatically assess soft plaques were by far the biggest technology advance discussed at the Society of Cardiovascular Computed Tomography (SCCT) 2022 meeting. 

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Around the web

Radiology Business
Key takeaways from RSNA 2024 for AI, CT, MRI and the radiology staffing shortage

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

Health Imaging
Use of AI opportunistic screening in CT for cardiovascular disease

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.