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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. 

 

Congress Senate Washington D.C. DC
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.
Coroner sounds alarm on impact of radiologist shortage after teen's death

The coroner recently authored a report questioning how the availability of radiologists in the region could be impacting patient outcomes. 
Same-day discharge safe, feasible for patients undergoing transarterial chemoembolization procedures

New research published in Clinical Imaging shows that patients undergoing TACE can forego dayslong hospital stays without no negative consequences.

kid child pediatric MRI imaging
AI predicts pediatric cancer recurrence with impressive accuracy

Researchers have developed a deep learning model that can spot longitudinal changes in patients' brain imaging that could be indicative of cancer recurrence. 

Visualized radiology data
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. 
Hyperbaric oxygen therapy offers years of relief from radiation therapy-induced side effects

For some patients, these side effects can last for years, negatively impacting their day-to-day lives. 
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.

Around the web

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.