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. 

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Cardiologist Azeem Latib

First patients treated with Abbott’s new balloon-expandable TAVR valve

Abbott already has an FDA-approved self-expanding TAVR valve, the Navitor system, on the market. The company is now evaluating the safety and effectiveness of a new balloon-expandable device that could potentially be implanted using software guidance. 

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.

FDA clears AI screening tool for cardiac amyloidosis

Ultromics designed EchoGo Amyloidosis to evaluate routine echocardiogram results for signs of cardiac amyloidosis. It received the FDA's breakthrough device designation back in 2023.

artificial intelligence AI heart cardiology

Medtronic using AI to identify more TAVR patients in need

Medtronic has launched new research into AI's potential to identify patients with severe aortic stenosis and other worrying symptoms. The company hopes to overcome longstanding health disparities and reach individuals who may otherwise go untreated.

Immediate Past President of the American College of Cardiology (ACC) Hadley Wilson, MD, FACC, executive vice chair of Atrium Health Sanger Heart and Vascular Institute and a clinical professor of medicine at Wake Forest University School of Medicine, details the top late-breaking studies at AHA 2024. #AHA24 #AHA2024

9 key takeaways from AHA 2024 in Chicago

Hadley Wilson, MD, spoke to Cardiovascular Business at the three-day event to discuss key late-breaking studies and trends. Topics included new drug treatments, AI and much more.

Deep learning recons reduce contrast and radiation doses in aortic CTA

Deep learning reconstruction cuts radiation and contrast dose by half in aortic CTA exams

A new analysis in Academic Radiology dives into the importance of finding balance between reducing radiation exposure while maintaining image quality. 

eko health digital stethoscope artificial intelligence

Eko Health’s AI platform for digital stethoscopes granted new CPT code

The Sensora platform, which includes multiple FDA-approved algorithms, has a new Category III CPT code.

artificial intelligence in cardiology

No-contact blood pressure and diabetes screening with AI shows promise

The new technology, still under development, could help physicians screen patients for diabetes and hypertension with high-speed video recordings. 

Predicting sudden cardiac death after a heart attack may be impossible—for now

Researchers tried to crack the code, but they fell short time and time again. AI may offer potential as one way to finally find an answer, they added. 

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Around the web

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.

Health Imaging
New imaging protocols proposed to curb rise of cardiovascular infections

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