Follow-up imaging for women with non-metastatic breast cancer varies widely across the country, according to a new study led by researchers at UCSF.
Automated breast-density evaluation was just as accurate in predicting women’s risk of breast cancer, found and not found by mammography, as subjective evaluation done by radiologists.
A type of AI known as advanced machine learning can classify essential views from heart ultrasound tests faster, more accurately and with less data than board-certified echocardiographers.
UCSF’s School of Medicine placed in the top five nationally in this year’s U.S. News & World Report survey of best graduate and professional schools. UCSF’s biomedical science PhD programs were among the top 10, and the School of Nursing was also highly ranked.
School of Medicine Dean Talmadge E. King, Jr. announced the appointment of Christopher Hess as the new chair of the UCSF Department of Radiology and Biomedical Imaging.
A new UC San Francisco–led study shows that failure to follow this basic principle of population science can profoundly skew the results of brain imaging studies.
UCSF scientists have developed an imaging tool that could soon allow doctors to locate and visualize bacterial infections in the body.
A new study led by UC San Francisco has found that radiation doses can be safely and effectively reduced – and more consistently administered – for common CT scans.