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Faculty

Guy S. Handelman

Department of Radiology
Belfast City Hospital
Belfast, UK
Royal College of Surgeons in Ireland
Dublin, Ireland

Hong Kuan Kok

Interventional Radiology Service
Northern Hospital Radiology
Epping, Australia
School of Medicine
Faculty of Health
Deakin University
Waurn Ponds, Australia

Ronil V. Chandra

Interventional Neuroradiology Service
Monash Imaging
Monash Health
Faculty of Medicine, Nursing and Health Sciences
Monash University
Clayton, Australia

Amir H. Razavi

School of Information Technology and Engineering
University of Ottawa
BCE Corporate Security
Ottawa, ON, Canada

Shiwei Huang

The Australian National University Medical School
Garran, Australia

Mark Brooks

Interventional Neuroradiology Service
Monash Imaging
Monash Health
Clayton, Australia
Department of Radiology
Interventional Neuroradiology Service
Austin Health
Heidelberg, Australia

Michael J. Lee

Royal College of Surgeons in Ireland
Department of Radiology
Beaumont Hospital
Dublin, Ireland

Hamed Asadi

Interventional Neuroradiology Service
Monash Imaging
Monash Health
Clayton, Australia
Department of Radiology
Interventional Neuroradiology Service
Austin Health
Heidelberg, Australia
The Florey Institute of Neuroscience and Mental Health
University of Melbourne
Australia

Accredited by

American Roentgen Ray Society

Course Description

After completing the material in this article, the learner should be able to:
1. Define machine learning;
2. Describe the different types of machine learning algorithms currently available
3. Develop basic critical appraisal skills for machine learning.

Activity Details

Credit Types:CME
Credit Amount:1.00 Credits
Release Date:2018-Dec-21
Expiration Date:2021-Dec-20
Estimated Time for Completion:1 hour
Registration Required:Yes
Cost:$0-$40

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