AI Cures Conference 2024

Somerville, MA US

AI has transformed many areas of life in the last decade, yet the impact of these technologies on patient care is still limited. Building on the combined expertise of MIT and MGB in AI and clinical practice, the MIT-MGB AI Cures Conference showcases ongoing collaborative projects in clinical AI, highlighting cutting-edge research and their impact on patient care. Equally important is the process for collecting the data required to train clinical AI algorithms, with a focus on privacy, diversity, and quality. Our sincere hope is that this conference will help foster new MIT-MGB collaborations and inform the public about our collective efforts to improve patient care.

  • Areas of Focus:
    • Clinical Translation of AI Tools
    • Regulatory Issues in Clinical AI
    • Fairness and Equity
    • Secure Patient Data Access
    • Algorithmic Challenges in Clinical AI
    • New Opportunities for MIT-MGB collaborations

Target Audience

This activity is intended for Students, postdocs, and faculty with strong research interests aligned with the conference

Learning Objectives

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

  1.   Identify clinical translation of AI tools
  2.    Demonstrate fairness and equity in AI applications to patient care.
  3. Recognize regulatory, secure data access, and algorithmic challenges in clinical AI

Additional Information

Provided by: 

Mass General Brigham & MIT

Course summary
Available credit: 
  • 3.75 AMA PRA Category 1 Credit™
  • 3.75 Participation
Course opens: 
Course expires: 
7:30amBreakfast & Registration
9:00Opening Remarks 
Anne Klibanski, CEO and President (MGB)
Sally Kornbluth, President (MIT)

Keynote I: The Future of AI in Medicine | Isaac Kohane (NEJM AI)

Keynote II: The Promise of AI in Rehabilitation Medicine | Ross Zafonte (MGB)

10:00Coffee Break

Session I: How Can AI Transform Healthcare? Real World Examples 
Marzyeh Ghassemi (MIT)
Polina Golland (MIT)
Dina Katabi (MIT)
Mengyu Wang (MGB)
Ashia Wilson (MIT)


Panel I: Bench to bedside - Clinical Implementation, Commercialization, and Regulatory Lessons Learned

Moderator: Adam Landman (MGB)

Panelists: Bernardo Bizzo (MGB), Danielle Bitterman (MGB), Vesela Kovacheva (BWH), David Sontag (MIT), Collin Stultz (MIT/MGB)

11:45Poster Session 
12:00pmLunch & Poster Session

Panel II: Diverse Approaches to Computational Phenotyping Using Real World Data 

Moderator: Shawn Murphy (MGB)

Panelists: Tianxi Cai (MGB), Hossein Estiri (MGB), Peter Szolovits (MIT), Ashia Wilson (MIT), Li Zhou (MGB)

1:45Fireside Chat

Panel III: Responsible AI

Moderator: Martha Jones (MGB)

Panelists: Elazer Edelman (MGB/MIT), Rebecca Grochow Mishuris (MGB), Benjamin Silverman, MD (MGB), Rachel Sisodia (MGB)

2:45End of Educational Activity / Poster Awards Announcement

Closing Remarks​
Paul Anderson (MGB)
Regina Barzilay (MIT)


Mass General Brigham
399 Revolution Drive
Assembly Row
Somerville, MA 02145
United States

Course Director

Merranda Logan, MD
Associate Chief Academic Officer, Mass General Brigham Incorporated (7/2020 - present)
Associate Chief Quality Officer, MGH/MGPO (7/2013-7/2020)
Assistant in Medicine, Department of Medicine, Massachusetts General Hospital


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 Credits™
Mass General Brigham designates this live activity for a maximum of 3.75 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Available Credit

  • 3.75 AMA PRA Category 1 Credit™
  • 3.75 Participation


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