IBIIS-AIMI Seminar: A.I. in Genitourinary Imaging: Where We Are Now and Where We Need to Be, Fiona Fennessy, MD, PhD
Event Details:
Location
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Associate Professor of Radiology
Harvard Medical School
Abstract:
Computer science, in the form of Artificial Intelligence (A.I.), has been applied to both the MR imaging and the pathological analysis of many types of tumors within the genitourinary system. Using the prostate and the adrenal glands as examples, the role of AI in differentiating normal tissue from tumors, and in deciphering clinically significant from non-clinically significant cancers will be discussed. In addition, the future potential of A.I. to interrogate the underlying microscopic tissue architecture and how this could impact clinical care will be discussed.
About:
Dr. Fiona Fennessy, MBBCh PhD, is a Professor Radiology at Harvard Medical School and Institute Physician at Dana Farber Cancer Institute. She is a member of the Abdominal Imaging group at Brigham and Women’s Hospital and is Vice Chair of Faculty Affairs at Brigham and Women’s Hospital. She has significant clinical expertise in cancer imaging and extensive research interest in quantitative MR imaging of prostate cancer. She has been Principal Investigator on a number of projects specific to optimization of prostate MR for quantitative imaging, including NIH U01 award (U01CA151261) (2010-2015) for “Quantitative MRI of Prostate Cancer as a Biomarker and Guide for Treatment”. Her research leverages the National Center for Image Guided Therapy (NCIGT) at Brigham and Women’s Hospital and the NCI Quantitative Imaging Network (QIN). Dr. Fennessy has co-authored numerous papers using MRI to assess prostate cancer, including evaluating the repeatability of quantitative MRI indices, and evaluating the optimal histopathology correlative processes for prostate MR validation. She is co-PI of an NIH T32 (EB025823) (2019-2024) entitled “Training in Image Guidance, Precision Diagnosis and Therapy” based at Brigham and Women’s Hospital, and as such oversees trainees in the technological developments and implementation of Image Guided Therapy-related diagnostics and intervention projects. In 2019 she was the recipient of a Distinguished Investigator Award from The Academy for Radiology & Biomedical Imaging Research.
Attendance is open to the Stanford community. If you would like to attend in-person or on Zoom, please contact the AIMI Center at aimicenter@stanford.edu.