Agenda

Thursday, April 20, 2023

3:00 – 4:00 PM
Check In & Registration

Welcome: Introduction to Artificial Intelligence at UF

4:00 – 4:10 PM
UF College of Medicine Dean’s Address
Colleen G. Koch, MD, MS, MBA

4:10 – 4:20 PM
What is Ahead of Us?
Azra Bihorac, MD, MS, FASN, FCCM

4:20 – 4:40 PM
Introduction to AI
Parisa Rashidi, PhD

4:40 – 5:30 PM
How Artificial Intelligence Will Change the Future of Medicine
Shinjini Kundu, MD, PhD
Moderator: Parisa Rashidi, PhD

5:30 – 6:00 PM
Panel Discussion
Colleen G. Koch, MD, MS, MBA and Azra Bihorac, MD, MS, FASN, FCCM, and Shinjini Kundu, MD, PhD


Friday, April 21, 2023

7:00 – 8:00 AM
Breakfast with the Experts Session: This breakfast session allows participants to meet and interact with Health AI data science experts. This is a great opportunity to network, ask questions, and get advice about your own projects.
Robert Donnell, MD, Jiang Bian, PhD, Patrick Tighe, MD, MS, and Tyler Loftus, MD

8:00 – 8:15 AM
Welcome
Azra Bihorac, MD, MS, FASN, FCCM

8:15 – 9:15 AM
Keynote Lecture: Re-imagining Precision Medicine: Beyond What the Eye Can See
Shinjini Kundu, MD, PhD
Moderator: Jiang Bian, PhD

9:15 – 10:00 AM
Special Joint Session with CHoRUS Bridge2A1: How to Build AI-Enabled Healthcare, Part 1
Rishi Kamaleswaran, PhD, J. Randall Moorman, MD, and Eric Rosenthal, MD
Moderator: Jiang Bian, PhD and Azra Bihorac, MD

10:00 – 10:15 AM
Break

10:15 – 11:15 AM
Special Joint Session with CHoRUS Bridge 2AI: How to Build AI-Enabled Healthcare, Part 2
Xiao Hu, PhD and Giles Clermont, MD, MSc
Moderator: Jiang Bian, PhD and Azra Bihorac, MD


11:15 – 12:00 PM
Special Joing Session with CHoRUS Bridge 2AI: How to Build AI-Enabled Healthcare – Panel Discussion
Giles Clermont, MD, MSc, Erik Deumens, Robert Donnell, Xiao Hu, PhD MD, Gigi Lipori, MBA, MT, PhD and Alina Zare, PhD
Moderators: Jiang Bian, PhD and Azra Bihorac, MD

12:00 – 12:15 PM

Lunch Pickup

12:15 – 1:15 PM
Working Lunch: Reimbursement for AI-Supported Interventions: State of the Policy
Pinaki Sarder, PhD, Ben Shickel, PhD, Joshua Wong, MD, Jie Xu, PhD, and Wei Shao, PhD
Moderators: Patrick Tighe, MD, MS and Jason Petho, MBA, MHA

1:15 – 2:45 PM
Where is My Data? Who is My Team? Are We Speaking the Same Language? Developing a Clinical Informatics Unit for Clinical Operations and Quality Improvement
Danielle Nelson, MD, MPH, Patrick Tighe, MD, MS, Jiang Bian, PhD, and Andrew Williams, PhD
Moderator: François Modave, PhD

2:45 – 3:00 PM
Break & Exhibits

3:00 – 4:00 PM
Pros and Cons of AI: Why/When AI Can’t Replace Human Judgement
Representing the Pros: Elsie Ross, MD, MSc
Representing the Cons: Alina Zare, PhD
Moderator: Jessica Ray, PhD


Saturday, April 22, 2023

Breakfast Session

7:00 – 8:00 AM
Breakfast with the Experts Session: This breakfast session allows participants to meet and interact with Health AI data science experts. This is a great opportunity to network, ask questions, and get advice about your own projects.
Bill Hogan, MD, MS, Jessica Ray, PhD, Pinaki Sarder, PhD, Elizabeth Shenkman, PhD, Ben Shickel, PhD, and Joshua Wong, MD


8:00 – 9:30 AM
Concurrent Breakout Session I

Track 1: Intelligent Surgical Care: Using AI to Improve Outcomes in Perioperative Medicine

This session will highlight representative examples of AI and machine learning in improving perioperative outcomes.

Elsie Ross, MD, MSc, Tyler Loftus, MD, Azra Bihorac, MD, MS, FASN, FCCM, and Catherine Price, PhD, ABPP
Moderator: Chris Giordano, MD

Track 2: Merging Human and Artificial Intelligence: Opportunities and Challenges

This session will discuss: Where do the algorithms inside machines come from? What did the machine learn in order to make recommendations?

Implementing AI in Radiology
Reza Forghani, MD, PhD

Machine/Human Conflict and Burnout
Jessica Ray, PhD

AI for Cancer Diagnosis and Treatment
Thomas George, MD

AI and Otolaryngology
Yael Bensoussan, MD, MSc, FRCSC

Moderator: Bill Hogan, MD


9:30 – 10:00 AM
Break & Hotel Checkout


10:00 – 11:30 AM
Concurrent Breakout Session II

Track 1: Intelligent Care: Using AI to Improve Cognitive Outcomes

This session will highlight representative examples of AI and machine learning in improving neurological outcomes.

Neuropathics
Adam Woods, PhD

Aging and Mobility
Todd Manini, PhD

Pediatric Neurology
Brandon Zielinkski, MD, PhD

Moderator: Patrick Tighe, MD

Track 2: Merging Human and Artificial Intelligence: Ethical and Legal Frontiers

This session will discuss ethical and legal questions that arise in AI-rich healthcare systems.

Health Disparities: Short Background for AI’s Impact
Elizabeth Shenkman, PhD

AI: Sound and the Public Sphere
Jasmine McNealy, PhD

Ethical and Legal Implications
Barbara Evans, JD, LLM

Ethical AI without Complete Transparency
Amber Ross, PhD

Ethics of Predictive Algorithms
David Grant, PhD

Indigenous Ethics in AI-Enabled Care
Ashley Cordes, PhD

Moderator: Elizabeth Shenkman, PhD


11:30 – 11:45 AM
Convene for Lunch

11:45 – 12:45 PM
Lunch & Closing Remarks

12:45 PM
Adjourn