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. 

Heartflow artificial intelligence CCTA images

AI leader Heartflow enters new era focused on delivering personalized care for CAD patients

The company's AI-powered CCTA assessments have already been used to help manage more than 400,000 heart patients around the world.

Video of James Min, MD, explaining the future of cardiac care using CT and AI plaque analysis to create a personalized and more accurate cardiac risk assessment, similar to a mammogram for the heart.

Embracing the future: James Min left academia to push for a paradigm shift in preventive cardiology

James Min, MD, Cleerly's founder and CEO, changed careers to address what he saw as a major unmet need in cardiology.

AI artificial intelligence stethoscope doctor

LAAO or DOAC? Mayo Clinic AI helps guide treatment of AFib patients

It can be challenging to know which AFib patients are the best candidates for LAAO. A new algorithm out of Mayo Clinic aims to address that problem. 

artificial intelligence consultation

AI brings cardiology, neurology teams together to boost care for stroke patients

A new post-stroke care pathway from Viz.ai and Medtronic is associated with significant benefits, including higher patient and clinician satisfaction.

robot reviewing heart data

More than words: AI takes NLP to the next level to identify signs of heart failure

Previous NLP algorithms for heart failure looked for certain words or phrases, but this updated model makes decisions based on clinical context. 

Medical imaging trends to watch in 2025

The healthcare market analysis firm Signify Research released a list of predictions in radiology its analysts expect to see in 2025. 

AI cardiology heart artificial intelligence deep learning

New AI model uses ECG images to evaluate heart failure risk

The advanced algorithm only needs an image or photograph of a 12-lead ECG to make its assessment. 

ACC.24 sign American College of Cardiology

American College of Cardiology announces late-breaking clinical trials for ACC.25

The presentations will cover a variety of topics, including coronary artery disease, semaglutide, artificial intelligence, TAVR, heart failure, PCI and much more. ACC.25 takes place March 29-31 in Chicago.

Around the web

GE HealthCare said the price of iodine contrast increased by more than 200% between 2017 to 2023. Will new Chinese tariffs drive costs even higher?

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.