06/16/2026 Session 5: AI for Researchers

June 16, 2026

This is a virtual course.

The Foundations of AI in Healthcare course is a five-session continuing medical education (CME) program designed to equip providers, nurses, and staff with a foundational understanding of artificial intelligence and its safe, effective, and ethical use across clinical, administrative, and research settings. Participants will gain essential knowledge, practical skills, and strategies for integrating AI tools into workflows while maintaining clinical oversight, patient trust, and compliance with institutional and regulatory standards.

Target Audience

This activity is intended for healthcare providers (clinicians, nurses, APPs), researchers, and staff across Mass General Brigham. 

Learning Objectives

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

  • Describe how AI can support research activities such as literature review, data extraction, and hypothesis generation.
  • Identify approved, secure environments for using AI in research and the ethical and regulatory considerations required for compliance.
  • Discuss specialty-specific examples of AI use in research, including applications in areas such as radiology.
  • Apply course concepts through a capstone group exercise to evaluate AI tools or propose AI-enabled research workflows in alignment with organizational guidelines.

Additional Information

Provided by: 

Course summary
Available credit: 
  • 1.00 AAPA Category I CME
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 Nursing Contact Hours
  • 1.00 Participation
Course opens: 
01/14/2026
Course expires: 
07/16/2026
Event starts: 
06/16/2026 - 1:00pm EDT
Event ends: 
06/16/2026 - 2:00pm EDT
Cost:
$0.00
Part of: 
MGB Foundations of AI in Healthcare 2026
Add to calendar: 

Esther Kim, ScD - Course Director
Senior Director, Digital Emerging Technologies Solutions - Mass General Brigham

Faisal Mahmood, PhD
Associate Professor of Pathology, Harvard Medical School

Jane Murray
Vice President, Digital Research Operations, Digital - Mass General Brigham

Danielle Bitterman, MD
Clinical Lead for Data Science/AI, Digital - Mass General Brigham
Principal Investigator, Brigham & Women's Hospital
Assistant Professor of Radiation Oncology, Harvard Medical School

In support of improving patient care, Mass General Brigham is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

Credit Designation Statements

AMA PRA Category 1 CreditsTM
Mass General Brigham designates this live activity for a maximum of 1 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Nursing
Mass General Brigham designates this activity for 1 ANCC contact hour. Nurses should only claim credit commensurate with the extent of their participation in the activity.

Physician Assistants
Mass General Brigham has been authorized by the American Academy of PAs (AAPA) to award AAPA Category 1 CME credit for activities planned in accordance with AAPA CME Criteria. This activity is designated for 1 AAPA Category 1 CME credit. PAs should only claim credit commensurate with the extent of their participation.

Available Credit

  • 1.00 AAPA Category I CME
  • 1.00 AMA PRA Category 1 Credit™
  • 1.00 Nursing Contact Hours
  • 1.00 Participation

Price

Cost:
$0.00
Please login or register to take this course.