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. 

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.

artificial intelligence robot evaluates healthcare data

Are providers too trusting of AI's advice?

“When we rely too much on whatever the computer tells us, that’s a problem."

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Pairing an alert system with CAD software halves time-to-treatment for pneumothorax

By expediting communication between radiologists and referring providers when suspicious findings are identified, the system has great potential to improve clinical outcomes in real-world scenarios, authors of a new study in JACR suggest.

artificial intelligence AI in healthcare

Industry Watcher’s Digest

Black-box outputs aren’t just a problem with AI. They’re also a problem with physicians. 

artificial intelligence AI life sciences biopharma

When life sciences met artificial intelligence

The pace of AI adoption is quickening in the sector, which includes biopharmaceuticals, digital health, clinical diagnostics and medical devices.

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.