AI & Emerging Technologies

The AI performed comparably to imaging experts and may best serve as a triage tool or additional reader to reduce the risk of missing a fracture.

The new rapid hyperpolarization technique could more accurately image kidney injuries, the effects of a heart attack, and much more.

The move will give creators a one-stop shop for robust radiology data, including DICOM images to train and test their models.

The insight is part of the American College of Radiology Data Science Institute's first annual survey, shared in JACR.

The tool performed well on data from an outside healthcare organization, suggesting it may be generalizable to broader populations.

The project will pilot scanners across multiple healthcare organizations, along with AI, voice recognition, and other capabilities.

Using deep learning, researchers can gather necessary calcification data in less than half a second.

Georgia State University will study schizophrenia, bipolar disorder and autism spectrum disorder over a five-year span.

The current legal environment is uncertain, but radiologists should familiarize themselves with potential pitfalls, experts explained in Skeletal Radiology.

The new findings will go a long way toward defining individual abnormalities and customizing patient treatments.

Publishers and providers may use the simple checklist to weed out promises from true clinical advances, researchers explained in the Journal of Nuclear Medicine.

University of Florida researchers will work with 21 other institutions to test their new artificial intelligence-driven tool.

Around the web

"Be the squeaky wheel. This issue was taken care of because physicians stood up,” Rad Partners' Richard Heller, MD, told RSNA attendees Monday. 

The platform runs on Azure, a cloud computing service operated by Microsoft, which recently announced plans to acquire Nuance for $20B. 

Radiology experts analyzed fetal MRIs from 33 women who contracted the virus while bearing a child, sharing their results Tuesday at RSNA. 

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