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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
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Simpler lung cancer screening criteria could capture more patients likely to benefit

New research published in JAMA Internal Medicine compared current USPSTF criteria to a potential shift toward total years smoked, rather than pack years. 

artificial intelligence
Nearly 100% of patients surveyed say they’d want to know when AI is used in imaging

Researchers recently sought to better understand how patients perceive rapidly evolving advancements in AI, sharing their findings in RSNA’s Radiology. 

the words "FDA recall" on a board
Servers recalled after glitch results in radiologists reading images for wrong patients

The issue could cause a reader to unintentionally report on the wrong patient when using interactive applications, according to a notice from the FDA. 

Siemens Healthineers CEM and biopsy features cleared by FDA
FDA clears contrast-enhanced mammography, biopsy features for breast imaging system

Interest in CEM has seen significant growth in recent years as more clinical evidence supporting its use has come to light. 

cancer chemotherapy survivor
Radiology nurse navigator helps streamline imaging for breast cancer patients

A new role at the UC Davis Comprehensive Cancer Center is improving the diagnostic process for both patients and providers. 

Robert Harris, PhD, a machine learning engineer at Virtual Radiologic (vRad), outlined his team's work developing and evaluating a generative chest X-ray machine learning model for use within one of the nation's largest teleradiology practices.
Generative AI chest X-ray models offer new approach to radiology reporting and quality improvement

While the technology remains investigational in many practices, researchers say it has the potential to improve diagnostic accuracy, streamline AI development and strengthen radiology quality assurance.

breast cancer mammography women's imaging
Radiology providers must pay $7M, modify policies after breast cancer miss

Radiologist Henry C. Lusane, MD, with Acumen Medical Imaging, interpreted the scans, reporting the mass as benign, a mistake later leading to a terminal cancer diagnosis. 

Cybersecurity lock
Recently acquired radiology group reports data breach

The Women’s Center for Radiology, which was acquired by Solis Mammography in January, hired a cybersecurity firm to help investigate the scope of the matter. 

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AI cuts hospital system's MRI wait times by more than 50%

The health network, which operates 37 hospitals in California, drastically reduced scheduling delays after integrating an FDA-cleared algorithm designed to speed up imaging acquisition times.  

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.