Policy & Regulations

This channel includes news coverage of healthcare policy and regulations set by Congress, the states, Centers for Disease Control and Prevention (CDC), the Department of Health and Human Services (HHS), U.S. Food and Drug Administration (FDA), and medical associations and societies. 

Approved

FDA greenlights AI-powered MR software that could give radiotherapy planning a boost

The U.S. Food and Drug Administration granted Philips 510(k) clearance for its AI-powered MRI platform tailored to the treatment of head and neck cancers. 

October 25, 2022

Should breast cancer screening initiation ages be reconsidered for women with a family history?

Suggesting that the standard 10-year age gap screening rule might not be as beneficial as previously assumed, researchers have indicated that women with relatives diagnosed at younger ages should consider different screening criteria.

October 24, 2022
Money

Insurers are 'leaving money on the table' for some shoppable imaging services

In some instances, maximum negotiated prices are 3.8 times higher than the minimum negotiated prices at the same hospital for the same procedure. 

October 19, 2022
Example of the four types of breast tissue density. The density of fibroglandular tissue inside the breast impacts the ability to easily see cancers. Cancers are very easy to spot in fatty breasts, but are almost impossible to find in extremely dense breasts. These examples show craniocaudal mammogram findings characterized as almost entirely fatty (far left), scattered areas of fibroglandular density (second from left), heterogeneously dense (second from right), and extremely dense (far right). RSNA

Breast density notification laws: FDA provides updated timeline on rollout

The proposed regulations would require all healthcare providers to offer patients a summary of their breast density that details their breast cancer risks and covers additional screening options that may be available.

October 18, 2022
Left, HeartFlow's RoadMap analysis enables cardiac CT readers to identify stenoses in the major coronary arteries. The AI provides visualization and quantification of the location and severity of anatomic narrowings. Right image, HeartFlow's Plaque Analysis AI algorithm automates assessment of coronary plaque characteristics and volume on CCTA exams to greatly reduce the time it takes to manually assess and quantify these features.

HeartFlow gains FDA clearance for 2 new AI-powered imaging assessments

The solutions, Plaque Analysis and RoadMap Analysis, both use coronary CT angiography to provide clinicians with a noninvasive look at patients who present with coronary artery disease and face a heightened myocardial infarction risk.

October 18, 2022
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Patients' out-of-pocket expenses up 123% for some imaging modalities

Older patients, racial/ethnic minorities, women and those on public insurance only (versus private) were observed to have lower OOP expenses. 

October 13, 2022
insurance payer payment insurer

'Economically unsustainable': How Medicare reimbursements hinder adoption of latest mammo technology

“Current reimbursement contributes to inequity because locating new technology in facilities that serve patients with public insurance, Medicare and Medicaid, is not economically sustainable," authors of a new paper in Radiology suggested.

October 11, 2022

Experts blame 'perverse incentives' for scientific fraud in radiology research

Nearly 30% of corresponding authors included in the analysis shared that they had witnessed scientific fraud in their department within the last five years.

October 10, 2022

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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