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Fewer than 30% of FDA-cleared AI devices share key safety, adverse event info prior to approval
Does BMI affect AI's accuracy when assessing CT scans?
New GE HealthCare partnership expands access to prostate cancer imaging agent
Repetitive head impact in soccer players increases risk of brain damage, MRI shows
Expert panel develops new breast biopsy guidelines
Howard Berger, MD, RadNet chairman and CEO, discusses why the company has invested millions into DeepHealth to rapidly build up a new business model for artificial intelligence capabilities in radiology. #RSNA #HealthAI #ClinicalAI #Radiology
Why RadNet is betting heavily on AI to reshape radiology workflows

RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model. 

 

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Republicans win shutdown showdown—Senate agrees to funding deal without ACA subsidy extension

With eight Democrats agreeing to the Republican-backed deal that reverses the firings of federal workers, the Senate now has the 60 votes needed for the bill to advance. The rehirings will include the 1,200 workers fired at the Department of Health and Human Services. 

lung cancer screening
Study highlights CT findings that could mask lung cancer, leading to delayed diagnosis

For many patients with interstitial lung disease, cancer could go undetected for years, putting them at risk of disease progression that would require more extensive treatment.

robot nurse uncanny valley
Chatbots offer patients more appropriate MRI explanations than experts, study shows

Chatbots may be able to accurately explain MRI results to patients in ways that radiologists are not routinely available to do. 

update policy
Lowest dose gadolinium-based contrast agent to date inches closer to FDA approval

Gadoquatrane is now set to go through the regulatory review process on its trek to earning full FDA approval. 

Head CT
CT findings linked to dangerous subdural hematoma expansion

If left untreated, SDH expansion puts added pressure on the brain, which can lead to damage, impaired neurological function and even death. 
Machine learning-based model predicts risk of severe pregnancy complication using MRI data

Placenta accreta spectrum is a serious and sometimes deadly perinatal complication. Instances of the condition have risen in recent decades, potentially due to an increase in cesarean deliveries.

Prem Soman, MD, PhD, FACC, FRCP, past president of the American Society of Nuclear Cardiology (ASNC), the Richard S. Caligiuri Endowed Chair in Amyloidosis and Heart Failure, director of the Cardiac Amyloidosis Center, director of nuclear cardiology, and a professor of medicine, University of Pittsburgh Medical Center (UPMC) Heart and Vascular Institute. He is presenting the keynote Mario Verani Memorial Lecture at ASNC 2025, where he will discuss transforming cardiac amyloidosis care.
How nuclear cardiology has transformed care for cardiac amyloidosis

Prem Soman, MD, PhD, explained how early detection and new therapies have been game-changers for the treatment and diagnosis of cardiac amyloidosis.

warning safety alert recall healthcare issue
AI-enabled devices lacking validation data prior to FDA clearance more likely to be recalled

FDA 510(k) clearance does not require that AI devices are subject to prospective human studies prior to approval.

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Radiology Business
Why RadNet is betting heavily on AI to reshape radiology workflows

RadNet Chaiman and CEO Howard Berger, MD, explains why the company has invested tens of millions into DeepHealth to rapidly build up a new business model. 

 

Cardiovascular Business
AI turns mammograms into CVD risk assessments—no outside data required

Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.

Radiology Business
Fewer than 30% of FDA-cleared AI devices share key safety, adverse event info prior to approval

A new analysis is prompting questions regarding how rigorously many of the AI-enabled tools approved by the U.S. Food and Drug Administration are evaluated prior to their clearance.