Sep 9–12, 2019

Greg Zaharchuk
Professor, Stanford University

Greg Zaharchuk is a radiologist and professor in radiology at Stanford University and a neuroradiologist at Stanford Hospital. His research interests include deep learning applications in neuroimaging, imaging of cerebral hemodynamics with MRI and CT, noninvasive oxygenation measurement with MRI, clinical imaging of cerebrovascular disease, imaging of cervical artery dissection, MR/PET in neuroradiology, and resting-state fMRI for perfusion imaging and stroke.

Sessions

11:05am–11:45am Wednesday, September 11, 2019

Location: LL21 E/F

AI and deep learning enable 4x faster scans and productivity gains for clinical radiology

AI Business Summit, Impact of AI on Business and Society

Secondary topics: Computer Vision, Deep Learning, Health and Medicine, Machine Learning

Enhao Gong (Subtle Medical), Greg Zaharchuk (Stanford University)

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Enhao Gong and Greg Zaharchuk detail AI solutions, cleared by the FDA and powered by industry framework, that deliver 4x–10x faster MRI scans, 4x faster PET scans, and up to 10x dosage reduction. Clinical evaluation at hospitals such as Hoag Hospital, UCSF, and Stanford demonstrates the significant and immediate values of AI to improve the productivity of healthcare workflow. Read more.