Artificial Intelligence for Clinicians (AI4C) Lecture Series
In this virtual lecture series sponsored by the MGH & BWH Center for Clinical Data Science (CCDS), international experts will discuss a broad set of topics related to healthcare applications of Artificial Intelligence (AI).
CME credit is available for MDs, DOs, NPs, and PAs.
Participation certificates are available to Other Health Care Professionals including Information Technology professionals.
Applications based upon concepts from AI, machine learning and data science are currently used in medical research across many specialties, and clinical tools are beginning to make their way into the healthcare arena, particularly in biomedical imaging. Radiologists and other physicians and healthcare personnel will require an understanding of these technological approaches in order to utilize applications appropriately, to critically read the medical literature, to evaluate commercial clinical tools, to drive clinically relevant research, to translate technologies into the clinical workflow, and to move the field forward.
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.
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
Massachusetts General Hospital and Brigham & Women's Hospital, Center for Clinical Data Science & Mass General Brigham
|March 11, 2021||How to Connect an Artificial Intelligence Tool to PACS||Felipe Kitamura, MD, PhD|
Neuroradiologist at Federal University of Sao Paulo (UNIFESP)
World University, Brazil
|April 8, 2021||What We Learn from AI Challenges|| Luciano Prevedello, MD, MPH|
Ohio State University
|May 13, 2021||Breast Imaging AI|| Constance D. Lehman, MD, PhD|
Massachusetts General Hospital
|June 10, 2021||AI Ethics and Business Considerations||Hugh Harvey, MD|
Hardian Health, UK
|September 9, 2021|
COVID-19 Severity Score Assessment Using AI
|Matthew D. Li, MD|
Massachusetts General Hospital
|October 14, 2021||AI Clinical Research Organization||Bernardo C. Bizzo, MD, PhD|
Mass General Brigham
|November 11, 2021||Center for AI in Diagnostic Medicine||Peter Chang, MD|
University of California, Irvine
|December 9, 2021|
AI in Radiology Workflow
|Paras C. Lakhani, MD|
Thomas Jefferson University Hospitals
|January 13, 2022||Natural Language Processing||Tessa S. Cook, MD, PhD|
University of Pennsylvania
|February 10, 2022||TBD|
Ziad Obermeyer, MD
|March 10, 2022||Radiomics and Oncology||Hugo Aerts, PhD|
Brigham and Women's Hospital;
Dana Farber Cancer Institute
|April 14, 2022|
AI and Global Health
|Judy W. Gichoya, MD, MS|
NIH Data Scholar at Fogarty International Center,
Emory School of Medicine
The following sessions took place previously and will be available as archived webinars:
|December 10, 2020||Integrative Team Approach to Prostate Cancer||Fiona Fennessy, MD, PhD|
Brigham and Women's Hospital
|January 14, 2021||Attribution Theory and Automating Radiology with Machine Learning||Matthew Lungren, MD|
|February 11, 2021||Opportunities and Challenges in the Application of AI to Radiology and Medicine||Bradley J. Erickson, MD, PhD|
Mayo Clinic Rochester
Accreditation (per session)
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.