April 8, 2021 AI4C: Algorithm Development Lifecycle in Medical Imaging
This lecture series we have Dr. Prevedello who will speak to Algorithm Development Lifecycle in Medical Imaging: Current State and Considerations for the Future
This lecture series in intended for Physicians of all specialties, nurses, Physician Assistants, Information Technology Specialists, and Researchers interested in Artificial Intelligence in healthcare. Faculty of all levels, students, residents, and fellows welcome. Personnel from the healthcare technology sector may also be interested in attending the series.
Upon completion of this activity, participants will be able to:
- Describe Artificial Intelligence (AI) and Machine Learning (ML) at a high-level.
- Identify current limitations of AI in healthcare.
- Cite examples of AI as applied to imaging and other healthcare data.
- Describe example AI tools that can impact workflow in the healthcare arena.
- Utilize clinical AI applications appropriately.
Massachusetts General Hospital and Brigham & Women's Hospital, Center for Clinical Data Science & Mass General Brigham
Katherine P. Andriole, PhD., FSIIM
Director of Research, Strategy and Operations
MGH & BWH Center for Clinical Data Science
Associate Professor of Radiology
Brigham and Women’s Hospital
Harvard Medical School
Luciano M. Prevedello, MD, MPH
Vice Chair, Medical Informatics & Augmented Intelligence in Imaging
Director, 3D and Advanced Visualization Lab
Division of Neuroradiology
Department of Radiology
The Ohio State University Wexner Medical Center
Mass General Brigham is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
Mass General Brigham designates this live activity for a maximum of 1 AMA PRA Category 1 Credit™ per session. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
- 1.00 AMA PRA Category 1 Credit™
- 1.00 Participation