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

6:00- 7:30 PM
Welcome Reception


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.
Jiang Bian, PhD, Robert Donnell, MD, Patrick Tighe, MD, MS, and Jessica Ray, PhD
Moderator: Katie Blackburn, MSPH

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 Bridge2AI: How to Build AI-Enabled Healthcare, Part 1

Crossing the Bridge to Coma Recovery
Eric Rosenthal, MD

The Future of AI and Medical Decision Making: Current Interests and Emerging Trends
Rishi Kamaleswaran, PhD

20 Years of Predictive Analytics Monitoring at the Bedside
J. Randall Moorman, MD

Moderators: Jiang Bian, PhD

10:00 – 10:15 AM
Break

10:15 – 11:00 AM
Special Joint Session with CHoRUS Bridge 2AI: How to Build AI-Enabled Healthcare, Part 2

Holistic Patient Sensing through the Eyes of Nurses
Xiao Hu, PhD

Predicting Cardiorespiratory Insufficiency in the Acutely Ill
Gilles Clermont, MD, MSc
Moderators: Ramzi Salloum, PhD

AI for IQ
Patrick Tighe, MD, MS


11:00 – 12:00 PM
Special Joint Session with CHoRUS Bridge 2AI: How to Build AI-Enabled Healthcare – Panel Discussion
Erik Deumens, PhD, DSc, Robert Donnell, MD, Gigi Lipori, MBA, MT, and Alina Zare, PhD
Moderators: Jiang Bian, PhD and Ramzi Salloum, PhD

12:00 – 12:15 PM

Lunch Pickup

12:15 – 1:15 PM
Working Lunch: AI: Federal Policy and Reimbursement

The Continuum of Human and Artificial Intelligence
Eric Rosenthal, MD

Federal Policies on Safety and Privacy
Barbara Evans, PhD, JD, LLM

The Role of Regulation in Operationalizing your AI Project
Yindalon Aphinyanaphongs, MD, PhD

Reimbursement Coding and Federal Policy
Richard Frank, MD, PhD

Moderator: Patrick Tighe, MD, MS

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

Clinical Data Collection and EHR Governance: Laying the Foundation for AI Learning and Clinical Decision Support Implementation
Danielle Nelson, MD, MPH

Clinical and Research Data Warehousing and UF’s Integrated Data Repository
Jiang Bian, PhD

Enabling Deep Phenotyping and Translational Research Applications of AI on EHR Data with OMOP2OBO
Andrew Williams, PhD

Clinical vs Research Perspectives on Data Use
Patrick Tighe, MD, MS

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, Wei Shao, PhD, Elizabeth Shenkman, PhD, Joshua Wong, MD and Jie Xu, PhD

Moderator: Katie Blackburn, MSPH


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.

‘Help the doctor’ – opportunities and pitfalls to developing AI for surgical decision making
Elsie Ross, MD, MSc,

Barriers to Real-Time, Multidisciplinary Clinical Implementation of AI Applications
Tyler Loftus, MD,

AI in Perioperative and Critical Care
Azra Bihorac, MD, MS, FASN, FCCM

Perioperative Cognitive Considerations
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 as a Member of the Cancer Care Team
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 Clinical Care: Helping the Human Brain with Artificial Intelligence

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

Deep Brain Stimulation on Demand
Aysegul Gunduz, PhD

Combining AI Methods and MRI-Derived Models for Precision Neuromodulation
Aprinda Indahlastari, PhD

Aging and Mobility
Todd Manini, PhD

AI-assisted Framework for Neurodevelopmental Outcomes
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.

AI: Sound and the Public Sphere
Jasmine McNealy, PhD

Working with Indigenous Communities: Understanding Indigenous Data Politics of AI
Ashley Cordes, PhD

Ethical AI without Complete Transparency
Amber Ross, PhD

Algorithmic Fairness in Health Care
David Grant, 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