A recent study by Cedars-Sinai reveals that AI accurately assesses cardiovascular risk in standard chest CT scans without contrast, potentially revolutionizing risk identification with non-invasive methods.
The Radiological Society of North America, the American College of Radiology, the Canadian Association of Radiologists, the European Society of Radiology, and the Royal Australian and New Zealand College of Radiologists have issued a joint statement supporting the responsible development and use of AI tools in radiology.
The 2023 Radiological Society of North America (RSNA) Alexander R. Margulis Award for Scientific Excellence will be presented to the authors of the Radiology article "Pancreatic Cancer Detection on CT Scans with Deep Learning" during the RSNA 2023 annual meeting in Chicago.
A Harvey L. Neiman Health Policy Institute and American College of Radiology Data Science Institute study projects that new U.S. FDA-approved artificial intelligence medical imaging products will increase five-fold by 2035.
A team of engineers at the University of California, San Diego, has developed a wearable, stretchable, ultrasonic array that can non-invasively and serially map the mechanical properties of deep human tissues, providing crucial information for the progression of diseases.
MediView XR, Inc. has received U.S. FDA 510(k) clearance for its XR90 augmented reality-based surgical visualization and navigation platform, which enables clinicians to utilize live imaging and 3D XR visualization to enhance minimally invasive ultrasound and CT-guided needle-based procedures.