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.

Target Audience

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.

Learning Objectives

Upon completion of this activity, participants will be able to:

  1. Describe Artificial Intelligence (AI) and Machine Learning (ML) at a high-level.
  2. Identify current limitations of AI in healthcare.
  3. Cite examples of AI as applied to imaging and other healthcare data.
  4. Describe example AI tools that can impact workflow in the healthcare arena.
  5. Utilize clinical AI applications appropriately.


Course Director

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
Boston, MA

Additional Information

Provided by: 

Massachusetts General Hospital and Brigham & Women's Hospital, Center for Clinical Data Science & Mass General Brigham


Course summary
Course opens: 
Course expires: 

Session Date

Topic Title


March 11, 2021How to Connect an Artificial Intelligence Tool to PACSFelipe 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

Clinical Implementation of AI Models in Breast Imaging:  Challenges and Opportunities

 Constance D. Lehman, MD, PhD
Massachusetts General Hospital 
June 10, 2021AI Ethics and Business ConsiderationsHugh Harvey, MD
Hardian Health, UK
September 9, 2021

COVID-19 Severity Score Assessment Using AI

Matthew D. Li, MD
Massachusetts General Hospital 
October 14, 2021AI Clinical Research OrganizationBernardo C. Bizzo, MD, PhD
Mass General Brigham
November 11, 2021Center for AI in Diagnostic MedicinePeter Chang, MD
University of California, Irvine
December 9, 2021

AI in Radiology Workflow

Paras C. Lakhani, MD
Thomas Jefferson University Hospitals
January 13, 2022Natural Language ProcessingTessa S. Cook, MD, PhD
University of Pennsylvania
February 10, 2022TBD

Ziad Obermeyer, MD
University of California at Berkeley, School of Public Health

March 10, 2022Radiomics and OncologyHugo 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:

Session Date

Topic Title


December 10, 2020            Integrative Team Approach to Prostate CancerFiona Fennessy, MD, PhD
Brigham and Women's Hospital
January 14, 2021Attribution Theory and Automating Radiology with Machine LearningMatthew Lungren, MD
Stanford University
February 11, 2021Opportunities and Challenges in the Application of AI to Radiology and MedicineBradley J. Erickson, MD, PhD
Mayo Clinic Rochester                            


MGH & BWH Center for Clinical Data Science
Boston, MA
United States

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.

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Please login or register to take this course.


Please login or register to take this course.
Registration TypeTuition Fee
(per session if you are seeking credit)
MDs, DOs, NPs, & PAs$20
Other Health Care Professionals $10


Contact if you require assistance in cancelling your online registration.