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.

Most women have yet to form an opinion about breast imaging AI
In a nationwide survey of 3,500 patients, those with higher electronic health literacy, educational attainment or of a younger age were “significantly” likelier to see AI as beneficial.
Is AI just what the doctor ordered for the radiologist shortage? Yes and no
AI shines in radiology when tasked with interpreting images of patients whose odds of illness are either very high or very low. In these cases, the technology could help mitigate burnout and supplement staffing.
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.
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.

Radiology IT firm Sirona Medical raises $42M in Series C financing

The startup, which offers cloud-based software that integrates disparate elements of a rad's workflow, also named a new CEO.

Frequent AI use may increase radiologists’ risk of burnout

The problem is particularly pronounced among members of the specialty who already have a high workload or are skeptical of artificial intelligence.

3 radiology tech companies make Deloitte’s ‘Fast 500’ with revenue growth of 770% or more

Rad AI grabbed the highest ranking, at #19 on the list, achieving 8,710% revenue growth between 2020 and 2023, followed by Aidoc and PocketHealth.

Startup aiming to automate 90% of imaging workflows, creating an ‘AI radiology resident,’ raises $23M

Software engineer and CEO Shiva Suri says he got the idea for New Lantern after watching his radiologist mother bogged down by administrative tasks.

ACR, top health systems form collaborative to help radiologists assess AI solutions

"We are facing an overwhelming influx of FDA-approved AI tools in healthcare, especially in radiology," one of the participants notes.

Radiology AI firm Mediaire raises nearly $12.7M in financing

Founded in 2018, the German firm offers a suite of solutions to assist radiologists with interpreting MR images of the brain, prostate and knees.

RadNet stock surges 20% to all-time high following news of GE HealthCare partnership

Under the “strategic collaboration,” subsidiary DeepHealth and GE will develop solutions that harness AI to address key challenges in radiology.

Radiology AI vendor Volpara Health inks $7M Department of Defense contract

The feds will deploy solutions for advanced mammography reporting, cancer risk assessment and patient tracking across the military health system.

Around the web

Health Imaging

MRI projectile incident likely to result in a 'seven-figure sum' repair bill for hospital

News of an incident is a stark reminder that healthcare workers and patients aren’t the only ones who need to be aware around MRI suites.

Health Imaging

American College of Radiology announces significant expansion of Lung Cancer Screening Registry

The ACR hopes these changes, including the addition of diagnostic performance feedback, will help reduce the number of patients with incidental nodules lost to follow-up each year.

Health Imaging

AI reduces CT lung cancer screening workload by nearly 80%

And it can do so with almost 100% accuracy as a first reader, according to a new large-scale analysis.

Artificial Intelligence

Most women have yet to form an opinion about breast imaging AI

Is AI just what the doctor ordered for the radiologist shortage? Yes and no

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

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

Around the web