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A team from the UCSF Center for Intelligent Imaging (ci2) developed a deep learning pipeline for diagnostic worklist prioritization and generalizability in assessing anterior cruciate ligament (ACL) lesions.

A new study from scientists at UCSF Radiology and Biomedical Imaging uses artificial intelligence (AI) to predict the presence of specific genetic alterations in individual patient's tumors using only non-invasive brain MRI. 

Radiologists at UCSF are actively involved in every facet of hepatitis B care, from screening to treatment of complications.

A paper from a team of scientists at the UCSF Ci2 won the 2020 Best Paper Award at Medical Imaging with Deep Learning (MIDL) earlier this month.

Tatiana Kelil, MD, has been selected as a John A. Watson Faculty Scholar for the 2020-21 academic year. Dr. Kelil is an assistant professor of clinical radiology in the UC San Francisco Department of Radiology and Biomedical Imaging. 

The UC San Francisco Department of Radiology and Biomedical Imaging is pleased to announce that four grants were awarded to faculty and trainees by RSNA.

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