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.

Big-name healthcare orgs tap AI to improve breast imaging workflows
These moves come as healthcare organizations are increasingly seeking ways to integrate artificial intelligence into daily clinical duties.
Congress should relax budget neutrality to pay for imaging AI, industry lobbying group urges
"As the nation’s largest payer of healthcare, Medicare’s policies on coverage and payment for AI technologies are especially critical," AdvaMed says.
Newswatch: AI for Medicare folk, AI uncertainty at the FDA, generative ghosts, more
AI is making patient financial advisors of hospital administrators who used to work in revenue cycle management.
Deep learning reconstruction enables 5-minute MRI scans
New research in the American Journal of Roentgenology details a deep learning super-resolution image reconstruction technique that opens the door for accelerated imaging of the knee.
Feds should take page from EHRs, creating ‘Meaningful Use’ program to spur AI adoption, Rad Partners leaders say
"Using a similar approach of front-loaded, declining incentives, an AI-focused program could help accelerate adoption and implementation," write Richard Heller and Nina Kottler.

18F-FDG PET/CT radiomics nomogram provides detailed insight into neuroblastoma

Better risk stratification can improve clinical decision making and better outcomes, experts involved in the study explained in EJR.

Left, coronary CT angiography of a vessel showing plaque heavy calcium burden. Right, image showing color code of various types of plaque morphology showing the complexity of these lesions. The right image was processed using the FDA cleared, AI-enabled plaque assessment from Elucid.

Cardiac CT soft plaque assessment may offer paradigm shift for coronary disease screening

New artificial intelligence software that can evaluate coronary CT scans to automatically assess soft plaques were by far the biggest technology advance discussed at the Society of Cardiovascular Computed Tomography (SCCT) 2022 meeting.

5 reasons radiologists should feel confident about learning—and teaching—AI

For years radiology educators have been reassuring prospects, recruits and trainees that artificial intelligence can only—and will only—assist or augment radiologists. And still a nervous concern continues to come up.

True or false? ‘AI does not influence radiologists’ performance’

A healthcare AI startup in Silicon Valley is partnering with a top-tier medical school—and hopefully a few good radiologists—to test a hypothesis that’s increasingly crucial to radiology.

Algorithm spots enteric tube misplacement on x-ray with great accuracy

The model was externally validated using more than 1,500 radiographs with real-world incidence of critically misplaced tubes.

Content-based AI system decreases read times by 31% while increasing accuracy

Using CBIRS decreased interpretation times despite the radiologists who utilized them having to review the additional information the system provided.

$Medtronic CathWorks FFRangio FFR fractional flow reserve x-rays$

Medtronic invests $75M in AI-powered FFR specialists, opening door to a future acquisition

The FFRangio System, which uses AI to obtain fractional flow reserve (FFR) measurements from routine X-rays, is at the center of this new partnership

Commercial PE-detecting algorithm identifies incidental clots on CT

Experts involved in the study, which analyzed more than 3,000 CT scans, suggested that there could be a future role for the algorithm to assist radiologists in busy settings.

Artificial Intelligence

Big-name healthcare orgs tap AI to improve breast imaging workflows

Congress should relax budget neutrality to pay for imaging AI, industry lobbying group urges

Newswatch: AI for Medicare folk, AI uncertainty at the FDA, generative ghosts, more

Deep learning reconstruction enables 5-minute MRI scans

Feds should take page from EHRs, creating ‘Meaningful Use’ program to spur AI adoption, Rad Partners leaders say