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AI Cures Conference

April 25th, 2022
In-Person, Samberg Center, MIT

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Tickets are only for MIT or MGB researchers.

Our Mission

In the last decade, AI has transformed many areas of our life. However,  the impact of these technologies on patient care is still limited.  Building on AI and clinical expertise of MIT and MGB, our goal is to facilitate translation and adoption of these technologies for improving diagnostics, treatment and long term outcomes for diverse patient populations. The conference will feature on-going collaborative projects in clinical AI, highlighting research innovations and  their impact on patient care at MGB.  Another important theme of the conference relates to data required for training clinical AI algorithms, with the focus on privacy, diversity and quality.  Finally, we will discuss a process of technology translation into hospitals, ranging from regulatory aspects, need for broad validation and expected changes in clinical workflow. We hope that the conference would help build new MIT-MGB collaborations  and inform the public about our collective efforts to improve patient care. 

Poster List

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

Agenda

7:30am Breakfast & Registration

9:00am Opening Remarks: 

Rafael Reif, President, Massachusetts Institute of Technology

Anne Klibanski, President & Chief Executive Officer, Mass General Brigham

Ravi Thadhani, Chief Academic Officer, MGB

Regina Barzilay, AI lead, Jameel Clinic for Machine Learning and Health, MIT 
 

9:20am Session I:

How Can AI Transform Healthcare? Real World Examples 

 

Predicting Lung Cancer Risk

Lecia Sequist (MGB), Florian Fintelmann (MGB), Regina Barzilay (MIT) 

 

Objective Sensitive and Continuous Measures for Assessing Diseases

Dina Katabi (MIT), Ipsit Vahia (MGB), Aleksandar Videnovic (MGB)

 

Artificial Intelligence in Cardiology: Opportunities, Challenges, and Bottlenecks

Collin Stultz (MIT/MGB)                 

 

Resolution of inflammation through the lens of spatial transcriptomics and AI

Caroline Uhler (Broad/MIT) & Ramnik Xavier (Broad/MGB)

 

Next generation antimicrobial stewardship using machine learning

David Sontag (MIT)  & Sanjat Kanjilal (MGB)

Panel: How AI changes clinical science?

Moderator: Ravi Thadhani

Participants: Eliezer Van Allen (Dana-Farber), Najat Khan (Janssen), Isaac Kohane (HMS/BWH), Peter Szolovits (MIT)


 

11:00am Session II:

Transforming Data into Insights: Opportunities and Challenges 

The Story of MIMIC

Roger Mark (MIT)

Designing Machine Learning Processes For Equitable Health Systems

Marzyeh Ghassemi (MIT) and Miriam Udler (MGB) 

                  

Machine Learning and Statistical Reasoning  in Health Care Applications

Emery Brown (MIT/MGB)   

 

Panel: Secure and ethical access to patient data

Moderator: Susan Hockfield

Participants: Donnella Comeau (MGB), Kim Durniak (MGB), Jane Moran (MGB), Ashia Wilson (MIT)

 

12:00pm Lunch & Poster Session


 

1:30pm Session III:

Translation of AI Technology to Clinic

 

AI and the FDA: Update 2022

Amir Khan (FDA)

                 

The AI Journey: From Publication to Patient Care

Keith Dreyer (MGB)

 

Insurance and Reimbursing AI algorithms

Gregg Meyer (MGB)

How MGB & MIT Investigators Begin to Collaborate

Regina Barzilay and Ravi Thadhani

 

Speakers

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Keith Dreyer
MGB

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Marzyeh Ghassemi
MIT

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Dina Katabi
MIT

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Anne Klibanski
MGB

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Gregg Meyer
MGB

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Lecia Sequist
MGB

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Peter Szolovits
MIT

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Caroline Uhler
Broad/MIT

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Aleksandar Videnovic
MGB

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Emery Brown
MIT/MGB

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Kim Durniak
MGB

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Susan Hockfield
MIT

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Amir Khan
FDA

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Isaac Kohane
HMS/BWH

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Jane Moran
MGB

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David Sontag
MIT

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Ravi Thadhani
MGB

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Ipsit Vahia
MGB

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Ashia Wilson
MIT

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Donnella Comeau 
MGB

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Florian Fintelmann
MGB

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Sanjat Kanjilal
MGB

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Najat Khan
Janssen

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Roger Mark
MIT

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Rafael Reif
MIT

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Collin Stultz
MIT/MGB

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Miriam Udler
MGB

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Eliezer Van Allen
Broad/ Dana-Farber

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Ramnik Xavier
Broad/MGB

 

Senior Scientific Advisory Board

Program Committee

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Regina Barzilay

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Elazer Edelman

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Lecia Sequist

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Bruce Walker

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Emery Brown

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Dan Huttenlocher

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Collin Stultz

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Matthew Vander Heiden

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Keith Dreyer

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Jane Moran

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Caroline Uhler

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Jonathan Kraft

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Phil Sharp

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Susan Hockfield

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Ravi Thadhani

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Terry Ragon

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Mark Schwartz

 

Samberg Conference Center

MIT

MIT Chang Building E52

50 Memorial Drive

Cambridge, MA 02142

 

Contact Details

Phone: +1 617 253 2612

Email: jclinic@mit.edu