The recently released SCOT-HEART clinical trial looked at coronary CTA’s effects on clinical outcomes after five years.
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The annual Hasegawa Award recognizes a radiology and biomedical imaging graduate student or postdoctoral scholar exemplifying the scope and quality of investigation demonstrated by Dr. Hasegawa during his career.
Radiomics is an emerging discipline in radiology. Researchers set out to determine the benefit of using multi-modality radiomics data from PET and MR images in the characterization of breast cancer phenotype and prognosis.
It is with sadness that we share the news of the passing of our former Chairman and friend, Dr. Alexander Margulis. Alex, as he preferred to be called, was a global visionary leader of radiology, beloved by physicians at UCSF and throughout the world. He will certainly be missed.
Recent studies have looked at Twitter use by health care professionals and have found many, especially those in the field of academic medicine, are using the platform quite frequently. UCSF Radiology’s marketing team has put together a list of Twitter Tips.
Deep learning has become a powerful tool in radiology in recent years. Researchers at the UC San Francisco Department of Radiology and Biomedical Imaging have started using deep learning methods to characterize joint degeneration and osteoarthritis, which will ultimately reduce the number of total joint replacements.