Event Description
Jerome Liang, PhD
Professor of Radiology, Biomedical Engineering, Electric and Computer Engineering, and Computer Science
Co-Director of Research
Department of Radiology
Artificial intelligence, machine learning and computer-aided diagnosis in cancer Imaging
February 11, 2021
12:00pm - 1:00pm
Virtual Seminar - Zoom
https://stonybrook.zoom.us/j/
Meeting ID: 981 5562 9970
Passcode: 950410
Host:
Wei Zhao, PhD
Professor of Radiology and Biomedical Engineering
Educational Objectives
Upon completion, participants should be able to:
(1) Learn different medical image representations of cancer attributes, such as heterogeneity, high tendency to grow, etc.
(2) Learn how computer (machine) can be trained (or programmed) to recognize the image representations.
(3) Learn how artificial intelligence can drive the machine learning to maximize the performance of computer-aided diagnosis (CADx).
Disclosure Statement
In compliance with the ACCME Standards for Commercial Support, everyone who is in a position to control the content of an educational activity provided by the School of Medicine is expected to disclose to the audience any relevant financial relationships with any commercial interest that relates to the content of his/her presentation.
The speaker, Jerome Liang, PhD, the planners; and the CME provider have no relevant financial relationship with a commercial interest (defined as any entity producing, marketing, re-selling, or distributing health care goods or services consumed by, or used on, patients), that relates to the content that will be discussed in the educational activity.
CONTINUING MEDICAL EDUCATION CREDITS
The School of Medicine, State University of New York at Stony Brook, is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The School of Medicine, State University of New York at Stony Brook designates this live activity for a maximum of 1.0 AMA PRA Category 1 Credits™. Physicians should only claim credit commensurate with the extent of their participation in the activity.
Should you be logging in Zoom by using your tablet or mobile device, please be sure to add your Full Name and/or Email for CME credit.
