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The Los Angeles-based imaging center operator sold a total of 8,711,250 shares of its stock at $29.75 apiece. 

A figure from the study shows a chest radiograph with an area of consolidation involving right lower lung consistent with pneumonia, as well as right pleural effusion. The deep-learning model predicted risk of 30-day mortality of 9%. Right: Gradient- weighted class activation map shows that model prediction was influenced by separate area of image corresponding with heart and liver (yellow and light blue colors). Patient’s CURB-65 score was 4. Patient recovered from pneumonia and remained alive. AJR Image

AI was able to predict 30-day mortality risk predictions more accurately that the current risk assessment.

doors subspecialty specialize

Following the intervention, learners demonstrated improved and sustained knowledge about high-value image ordering, experts wrote in JACR

ChatGPT large language AI radiology patient information

As a source of patient information, human-authored SIRweb.org beats ChatGPT on readability and, in a word, helpfulness. However, the website needs work on those scores too.

quality

The agency is proposing a new electronic clinical quality measure for inpatients tied to "excessive radiation dose or inadequate image quality." 

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The 22,632 square-foot center will include four wide-bore MRIs and upgraded PET and CT scanners, leaders announced recently. 

Innovation at work

As radiology departments across the US continue to navigate the complexities of the current imaging market, including disruptions in supply chains and increased demand for CT contrast media, one constant remains: the need for reliable, quality supply partners to help sustain patient care. 

Sponsored by Bayer

Around the web

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.