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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American College of Radiology urges HHS to address ‘unsustainable’ AI payment policy

ACR recently voiced its frustrations to Health and Human Services, sharing suggestions for how the agency could spur greater use of this technology. 

Los Angeles, California

ViVE 2026: News and announcements from the Los Angeles show floor

The annual meeting at the Los Angeles Convention Center just wrapped up. Here’s a small sample of some of the biggest announcements.

Whole-body MRI provider starts offering AI-powered CCTA scans

Patients electing to undergo a whole-body MRI at one Florida facility are now able to undergo a CCTA exam at the same time. All results are interpreted by a cardiologist, and the patient meets with a physician for a one-on-one consultation.  

Qure.ai CAD chest X-ray reporting tool cleared by FDA

FDA clears Qure.ai's CAD tool for chest X-rays

The product is used to highlight findings from plain chest radiographs completed in emergency departments, urgent care clinics and family practices. 

simulation of the conduction pathway relative to various cardiac structures.

FDA clears AI-powered platform that personalizes care during TAVR, cardiac pacing procedures

The newly cleared CARA System from Cara Medical was designed to help clinicians before and during a variety of cardiac procedures. It provides a personalized 3D map of the patient's cardiac conduction system and then overlays that map onto live fluoroscopic images.

Friederike Keating, MD, professor of medicine at the Larner College of Medicine, and director of nuclear cardiology at University of Vermont Health, said artificial intelligence (AI) in medical imaging may actually increase costs and make workflows less efficient in some instances. She said this is a key thing for health systems and policy makers to keep in mind if there is not clear data showing it helps.

How the rise of AI could lead to efficiency issues and lower reimbursement payments

AI has shown the potential to transform patient care. However, there are more details to consider than many health systems and policymakers realize. 

Rick Abramson, MD

FDA picks radiologist to fill key AI-related role

Rick Abramson, MD, has been selected to serve as director of the Digital Health Center of Excellence after previously acting as CMO of radiology vendor Annalise.ai. 

AI bolsters breast radiologists’ cancer detection rate, real world study finds

The study spanned four sites and included 9 highly experienced breast radiologists reading over 100,000 DBT exams. 

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