A team of radiologists and orthopedists from the Center for Intelligent Imaging, or Ci2, at UCSF recently investigated the feasibility of automatic identificaiton and classification of hip fractures using deep learning.
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Srikantan Nagarajan, PhD has been inducted into the American Institute for Medical and Biological Engineering (AIMBE) College of Fellows.
A group of breast imaging radiologists at UCSF Radiology, the Cleveland Clinic Medical Center Department of Radiology and the Mayo Clinic Department of Radiology set out to assess the utilization of patient navigators at breast imaging facilities across the country.
Abdominal aortic aneurysm (AAA) disease is common. Larger AAAs can rupture, becoming life-threatening and requiring emergency surgery. Scientists from UCSF Radiology and the SFVAMC conducted a study that focused on focused on intraluminal thrombus (ILT) detection to help determine prognosis in these patients.
The purpose of the study from UCSF's MQIR group was to develop a multitask, deep learning model for grading hip osteoarthritis features on radiographs and compare its performance to that of attending-level radiologists.
Dual-energy CT (DECT) is not new, in fact, says Benjamin Yeh, MD, it has been around just as long as computed tomography (CT) has. What is new is that CT scanners can capture DECT quickly and with good image quality. He discusses new applications of DECT along with his lab's translational research group focusing on the exploration and development of novel CT techniques.