In a recent interview reflecting on ADNI’s significance in advancing Alzheimer’s research, Dr. Weiner observed that a major challenge for all clinical trials is that the trial participants do not fully represent the populations of people who need treatment.
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On Wednesday, March 29, the UCSF Department of Radiology and Biomedical Imaging and the Center for Intelligent Imaging (ci2) welcomed a global crowd of researchers to our Mission Bay Campus.
The resumption of in-patient care at Mount Zion Hospital in 2020 after many years as an outpatient site presented an opportunity for imaging expansion.
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On July 1, 2022, UCSF and Zuckerberg San Francisco General Hospital (ZSFG) established a new Emergency Radiology section to provide after-hours faculty coverage for imaging exams conducted between 5 pm and midnight. With the leadership of Mark Wilson, MD, ZSFG Chief of Radiology, faculty members Jason Talbott, MD, PhD, Shital Gandhi, MBBS, and Amrutha Ramachandran, MBBS, staff this new endeavor along with 8 per-diem faculty.
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An artificial intelligence (AI) algorithm using deep learning can enable clinicians to estimate the coronary artery calcium scoring score on routine non-contrast chest CT, potentially allowing opportunistic early preventive interventions. A multi-center team (including UCSF) took part in a study and developed a fully automatic, end-to-end deep learning model for automated CAC scoring using routine non-gated unenhanced chest CT exams.
With funding from the National Institutes for Health, the HMTRC develops and disseminates hyperpolarized (HP) 13C MR techniques and instrumentation, specialized data acquisition methodology, and analysis software for biomedical research. Hyperpolarized 13C MRI is an emerging molecular imaging technique that provides unprecedented tissue metabolic information. Established in 2011, the HMTRC is the quintessential example of our department's vision of Leading Imaging Innovation to Improve Health, and its strategic pillar of Team Science and Moonshot.