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.

Researchers cite safety concerns after uncovering 'harmful behavior' of fracture-detecting AI model

A study in Lancet Digital Health reports that a previously validated, high performing AI model committed troublesome errors when confronted with atypical anatomy.

FDA clears Aidoc artificial intelligence solution for flagging suspected brain aneurysm cases

This marks the ninth 510(k) clearance for the company, which has offices in Israel and New York, and second in the past 10 days.

AI model able to ID early signs of type 2 diabetes on imaging results

The authors hope their findings could lead to earlier diagnoses and improvements in patient care.

Artificial intelligence shows promise predicting patients’ need for CT after traumatic brain injury

Only 10% of such scans reveal positive findings for TBI, raising concerns about overuse and radiation exposure among children, experts wrote in JACR.

AI predicts COVID prognosis at near-expert level using CT scoring system

A deep convolutional neural network was able to predict hospital stay, ICU admission and intubation when scoring chest CT images of hospitalized COVID patients.

AI distinguishes between a heart attack and takotsubo syndrome more accurately than cardiologists

The advanced AI model outperformed a team of cardiologists, delivering a better AUC and overall accuracy.

AI software that triages x-rays for pneumothorax receives FDA clearance

The new algorithm flags chest x-rays when it detects pneumothorax and notifies physicians of any suspicious findings.

Imaging artificial intelligence startup Qure.ai raises $40M in new funding

First launched in 2016, the AI firm offers products that help docs read and interpret X-rays, CTs and ultrasounds “in less than a minute."

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