2021 Annual Summit: "AI in Healthcare: Promise and Perils"

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The increasing complexity and sheer volume of data available in healthcare has led to a growing interest in deploying AI tools to support clinical decisions, improve patient outcomes, and optimize treatment efficiency. Although a number of reports suggest that AI can perform as well or better than humans at some healthcare tasks, formidable design challenges, as well as ethical and legal questions remain. 

The 2021 Mellichamp Mind and Machine Intelligence Annual Summit looks at the state-of-the-art of AI in healthcare and the ways in which AI can be used/misused in this setting. This (virtual) event will be held over three half days, and is organized around these broad topics:

AI, Doctors, and Patients

Ziad Obermeyer (Keynote)
Distinguished Associate Professor
School of Public Health, UC Berkeley
What AI Can Teach Us About Human Intelligence

Tim Bickmore
Professor, Associate Dean for Research
Khoury College of Computer Sciences, Northeastern University
Death by Siri: The Dangers of Asking AI for Medical Advice

Katherine Heller
Assistant Professor
Department of Statistical Science, Duke University
"Machine Learning in Real-world Healthcare Settings: How Far We've Come and Where We Are Going

Matt Beane
Assistant Professor
Technology Management Program, UC Santa Barbara
"Shadow Learning: Building Robotic Surgical Skill When Approved Means Fail

AI, Radiology, and Decisions

Sharmila Majumdar (Keynote)
Margaret Hart Surbeck Distinguished Professor in Advanced Imaging, Vice Chair for Research
Department of Bioengineering and Therapeutic Sciences, UC San Francisco
Intelligent Imaging: From Acquisition to Precision Medicine

Ioannis Sechopoulos
MD, Associate Professor
Radiology and Nuclear Medicine, Radboud University, Nijmegen, NL
AI for breast cancer screening in Europe: Possibilities and Current Results

Shamim Nemati
Assistant Professor and Director of Predictive Health Analytics,
Biomedical Informatics, UC San Diego
"Machine Intelligence in Critical Care; Role of Interpretability and Trust

Kyle Myers
Senior Advisor; Division of Imaging, Diagnostics, and Software Reliability
Office of Science and Engineering Laboratories, Center for Devices and Radiological Health, FDA
"AI-Enabled Systems in Medical Imaging: FDA Research in Support of Regulatory Pathways

AI and COVID-19

Lynn Fitzgibbons (Keynote)
MD, Infectious Disease Specialist
Cottage Health Santa Barbara 
COVID-19 Vaccinations and AI: harnessing the power and avoiding the pitfalls

Laure Wynants
Assistant Professor
Department of Epidemiology, Maastricht University, Maastricht , NL
A journey through the disorderly world of diagnostic and prognostic models for covid-19: a living systematic review

Daniel Chow
Assistant Professor-in-Residence, Radiological Sciences
School of Medicine, UC Irvine
"Deployment of AI-Based Risk Assessment Tools for COVID at UCI - A Single-Center Experience

Rajesh Ranganath
Assistant Professor
Courant Institute of Mathematical Sciences, New York University
"A Deployed Model for COVID-19

Timing and details for the meeting can be found in the agenda linked on the right. Attendance is free, but registration is required. Note that your registration is for the entire Summit, and the same zoom webinar link will allow you to join any session (on any of the three days).

We look forward to your participation and to a stimulating conversation!

Summit Organizers

Miguel P. Eckstein
Professor, Psychological and Brain Sciences
Affiliate Faculty, Electrical and Computer Engineering

William Wang
Assistant Professor, Computer Science

Kelly Bedard
Chair, Economics

Tevfik Bultan
Chair, Computer Science

Mike Miller
Chair, Psychological and Brain Sciences

 Dates & Location

June 1 - 3, 2021
Virtual Workshop
UC Santa Barbara


Free to attend; registration required to receive Zoom webinar attendance link.

Zoom Registration Link