Posts by Christopher P. Bridge, DPhil
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Automated Deep Learning Accurately Assesses Muscle and Fat Tissue on Routine Chest CT
Massachusetts General Hospital researchers created a fully automated deep learning system to quantify and characterize muscle and adipose tissue on CT scans at multiple thoracic vertebral levels. The system is as accurate as human analysts on routine CT scans, regardless of intravenous contrast.
Biography
Christopher P. Bridge, DPhil, is director of Machine Learning in the Data Science Office at Mass General Brigham and a member of the Athinoula A. Martinos Center for Biomedical Imaging. He is also an Instructor in Radiology at Harvard Medical School.
Mass General Imaging
For over 100 years, the Department of Radiology at Massachusetts General Hospital has pioneered imaging technology to improve human health. Today, our researchers develop powerful new ways to diagnose and treat many diseases. From the lab to the clinic, our community of radiologists and researchers brings advances directly to our patients.