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.

Prostate AI cleared for U.S. sales

A medical AI startup in Omaha, Neb., has received the FDA’s blessing to market software for diagnosing prostate cancer on MRI scans.

Less experienced radiologists benefit from deep learning models when scouting for intracranial aneurysms

Deep learning models can increase reader accuracy while simultaneously decreasing interpretation times when evaluating imaging for intracranial aneurysms.

Mobile fluoroscopy machine, DR detector cleared for U.S. sales

The FDA has approved Xoran’s Tron CT system, a full-body fluoroscopy system that is fully mobile, and Viewworks’s Vivix-S F series flat panel detectors for digital radiography.

Should patients—or any of 6 other stakeholder groups—get paid for AI in healthcare?

The commoditization of health data raises questions about who is owed what, and in what proportion, when artificial intelligence renders the data clinically useful and thereby financially profitable.

AI quality assurance models saving lives and millions in avoided med-mal

Sponsored by vRad

Unrecognized imaging findings are an unfortunate, but undeniable, part of radiology. New advancements in artificial intelligence (AI) and machine learning offer a critical safety net that is improving care and saving lives — as well as avoiding millions of dollars in potential medical malpractice costs.

Fat attenuation index (FAI) CT imaging of coronary artery fat can show inflammation and can help pin-point vulnerable plaques, or show the reversal of inflammation due to drug therapies. The technology is being developed by the vendor Caristo, which has European CE mark and the company is seeking FDA clearance. #SCCT #SCCT2022

VIDEO: New Technologies in Cardiac CT Imaging

Ron Blankstein, MD, Brigham and Women's Hospital, explains recent advances in coronary computed tomography angiography (CCTA) technology.

Heartbeat Health Caption Health AI echocardiogram

Caption Health, Heartbeat Health partner to deliver AI-powered echocardiograms

Steve Cashman, Caption Health’s CEO, described the partnership as “an ideal coupling of patient-centric services.”

Google, NIH converge on Arkansas over medical AI education, advancement

Data scientists and software engineers at the University of Arkansas have been awarded more than $140,000 by the NIH to educate biomedical researchers on the growing role of AI in big-data analytics.

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