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
Regina Barzilay
MIT
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