Deep Learning

UCSF Launches Artificial Intelligence Center to Advance Medical Imaging

"Intelligent Imaging" Hub will harness computational tools in medical imaging to improve patient care.

Jae Ho Sohn, MD, MS Talks About the Present and Future of AI in Health Care

A recent video story from the Washington Post looks at artificial intelligence (AI) and its future in health care. Jae Ho Sohn, MD, MS appears on this video.

Applying Advanced Computer Vision and Machine Learning to Study Musculoskeletal Disorders and Osteoporosis

Valentina Pedoia, PhD is a data scientist applying computer vision and machine learning techniques to MRI scans to study musculoskeletal disorders.

A Deep Learning Model Predicts a Diagnosis of Alzheimer’s Disease Using 18F-FDG PET

Artificial intelligence (AI) technology improves the ability of brain imaging to predict Alzheimer's disease, according to a study from UCSF Radiology researchers published in the journal Radiology.

Deep Learning Attacks Joint Degeneration and Osteoarthritis: Musculoskeletal Imaging Research Published in ‘Radiology’

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.

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