Our Mission
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
Fairness and Equity
Algorithmic Challenges in Clinical AI
Regulatory Issues in Clinical AI
Secure Patient Data Access
New Opportunities for MIT-MGB collaborations
2023 Speakers
Paul Anderson
MGB
David Bates
MGB
Rahul Deo
MGB
Marzyeh Ghassemi
MIT
Martha Jones
MGB
Rose Molina
MGB
Collin Stultz
MIT/MGB
George Washko
MGB
Cynthia Barnhart
MIT
Emery Brown
MIT/MGB
Florian Fintelmann
MGB
Polina Golland
MIT
Dina Katabi
MIT
Debra Monticciolo
MGB
Arti Tandon
FDA
Regina Barzilay
MIT
Glenn Cohen
Harvard Law
Bruce Fischl
MGB
Megha Gupta
Beth Israel Deaconess
Anne Klibanski
MGB
David Sontag
MIT
Kate Walsh
MA HHS
2023 Agenda
7:30AM
Breakfast & Registration
9:00AM
Opening Remarks
9:15AM
Session I: How Can AI Transform Healthcare? Real World Examples
Non-Invasive Hemodynamic Monitoring in Heart Failure: A Medical Holy Grail
Collin Stultz (MIT/MGB)
AI in cardiac disease
Rahul Deo (MGB)
Modelling Pregnancy Risks with Pre- and In-Pregnancy Data
Marzyeh Ghassemi (MIT), Megha Gupta (BIDMC), Rose Molina (MGB)
Overcoming barriers to clinical translation in neuroradiology
Bruce Fischl (MIT)
10:15AM
PANEL I: Clinical Implementation and Lessons Learned
Moderator: Paul Anderson (MGB)
Participants: David Bates (MGB), Emery Brown (MIT), Debra Monticciolo (MGB), David Sontag (MIT)
10:45AM
Poster Session
12:00PM
Lunch
12:45PM
Session II: Advances in Clinical AI - Real Examples
Data-Driven Approach for Care Delivery and Development
Dina Katabi (MIT)
Predicting Lung Cancer Risk: What’s Next?
Florian Fintelmann (MGB), Regina Barzilay (MIT)
AI in pulmonary disease
George Washko (MGB)
From Pixels to Clinical Insight: Fetal and Placental MRI
Polina Golland (MIT)
1:45PM
Panel II: Regulatory and Ethical Considerations in Clinical AI
Moderator: Regina Barzilay (MIT)
Participants: Glenn Cohen (Harvard Law), Martha Jones (MGB), Arti Tandon (FDA)
2:15PM
Closing Remarks
Regina Barzilay (MIT) and Paul Anderson (MGB)
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Senior Advisory Committee
George Daley
Terry Ragon
Susan Hockfield
Mark Schwartz
Jonathan Kraft
Phillip Sharp
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Samberg Conference Center
MIT
MIT Chang Building E52
50 Memorial Drive
Cambridge, MA 02142
Contact Details
Email: jclinic-info@mit.edu