Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

Newsweek ranked the 50 best heart hospitals in the world

Heart health experts explore CT’s role in the diagnosis of CAD in women

Leslee J. Shaw, PhD, and Martha Gulati, MD, are joining forces to discuss how CAD presents in women, advances in imaging technology and much more. 

The rapid rise of artificial intelligence (AI) has helped cardiologists, radiologists, nurses and other healthcare providers embrace precision medicine in a way that ensures more heart patients are receiving personalized care.

AI helps cardiologists deliver personalized healthcare—but there is still plenty of work to do

A new scientific statement from the American Heart Association explores the many ways AI and machine learning are being used to improve care for heart patients.

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FDA grants AI software for imaging-based heart assessments its breakthrough device designation

The new software was also added to the FDA's Tap Pilot program, an honor reserved for “high-quality, safe, effective and innovative medical devices."

The new Philips Healthcare CT 5300 system is aimed at the cardiac CT market and incorporates AI features to improve image quality and workflow. #ECR #YesCCT #CCTA

Philips launches new AI-enabled CT scanner aimed at cardiology at ECR 2024

Philips introduced a new CT system at ECR aimed at the rapidly growing cardiac CT market, incorporating numerous AI features to optimize workflow and image quality.

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Cardiologists partner with imaging AI specialists to improve care for high-risk heart patients

The new collaboration is designed to ensure patients who may face an increased risk of heart disease receive the follow-up care they need.

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Cleerly’s AI software for noninvasive FFR estimates receives a Category 1 CPT code

The company officially launched its Cleerly ISCHEMIA software for delivering noninvasive evaluations of CCTA exams in early 2024. This update provides a closer look at the software from a billing perspective. 

Video of Mahadevappa Mahesh, PhD, incoming-AAPM president, professor of radiology and a medical physicist, Johns Hopkins University School of Medicine, explains key trends in imaging physics presented at the Radiological Society of North America (RSNA) 2023 meeting.

6 key trends in medical imaging physics

Mahadevappa Mahesh, PhD, incoming American Association of Physicists in Medicine president, discusses key developments in the specialty. 

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AI could be a game-changer for TAVR, but cardiologists remain ‘irreplaceable’

The rise of TAVR as a go-to treatment option for many AS patients has been one of the biggest stories in cardiology for several years now. How will advanced AI models impact this trend going forward? 

Around the web

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

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