Artificial Intelligence in Medical Imaging - Imagination, Creativity, and New Horizons

Speaker: Dr. Elizabeth Tong
         Assistant Professor of Neuroradiology
         Stanford University

Title:  "Artificial Intelligence in Medical Imaging - Imagination,
         Creativity, and New Horizons"

Date:   Monday, 31 October 2022

Time:   4:00pm - 5:00pm

Venue:  Lecture Theater F
        (Leung Yat Sing Lecture Theater); near lift 25/26
        HKUST


Abstract:

Artificial Intelligence (AI) approaches have many applications in
different phases of radiology. The normal workflow of radiology starts
with protocol selection, image acquisition, image processing, interpreting
images, diagnosis, and predictions. The breadth of techniques utilized in
medical imaging field is vast. Natural language processing is used to
assign imaging protocols. Neural networks are used for triaging studies,
diagnosis, and detection. AI is used to reconstruct high-quality images
from low-dose acquisitions. Various machine learning models are used for
predicting outcome. We will sample some of the AI applications used in the
different phases of medical imaging and see the potential impact of AI.


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Biography:

Dr. Tong is a Neuroradiologist at Stanford University Hospital. She
obtained her medical degree from University of California San Diego. She
completed her radiology residency training at University of Virginia and
neuroradiology fellowship at Stanford University. Her primary interest is
pediatric neurological diseases. Her research includes advanced MRI
sequences, epilepsy, stroke, and artificial intelligence applications.