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AI for Healthcare

Equity Conference  

April 12th, 2021 — 9am EDT

Virtual Conference

Our Mission

The potential of AI to bring equity in healthcare has spurred significant research efforts across academia, industry and government.  Racial, gender and socio-economic disparities have traditionally afflicted healthcare systems in ways that are difficult to detect and quantify.  New AI technologies, however, provide a platform for change. By bringing together thought leaders in these fields, we will assess the current state-of-the-art work in this space, identify key areas of impact, and present machine learning techniques that support fairness, personalization and inclusiveness.  We will also discuss the regulatory and policy implications of such innovations. 

Areas of Focus

Algorithms for Fairness

and Debiasing

Learning to Personalize

Clinical Care

Data Sources for

Equitable Healthcare

Evaluation of

AI Algorithms

Regulatory Issues for

Robust AI Deployment

AI Fixes for

Health Inequities 

Racial Disparities

in Health Outcomes

Race and

Medical Mistrust 

Agenda

Our Speakers

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Sharrelle Barber

Assistant Professor of Epidemiology, Drexel University

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Anthony Philippakis

Chief Data Officer of the Broad Institute of MIT and Harvard

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Karthik Sivashanker

VP of Equitable Health Systems and Innovation, AMA

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Regina Barzilay

Conference Organizer

Jameel Clinic Faculty Lead, AI

Fotini Christia

 Conference Organizer

Director of the MIT SSRC

Marzyeh Ghassemi

Assistant Professor at the University of Toronto

Ziad Obermeyer

Associate Professor, UC Berkeley School of Public Health

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Casey Ross

National Health Technology

Writer, STAT News

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Collin Stultz

Conference Organizer

Professor of EECS, IMES

Dimitris Bertsimas

Jameel Clinic Faculty Lead, Entrepreneurship

Amaka Eneanya

Assistant Professor of Medicine, University of Pennsylvania 

Judy Wawira Gichoya

Assistant Professor, Department of Radiology, Emory University

T. Salewa Oseni

Surgical Oncology,

Massachusetts General Hospital

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Adam Yala

PhD Candidate,

MIT CSAIL

 
 

Organizations

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