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Evaluation ViewAttendees 94
Pre-Conference Program

Academic and Research Skills

EHR/Medical Informatics

Neonatology

Social Media & Technology
Session Type: Pre-Conference Program

AI for Neonatologists: A Comprehensive Overview of How AI Will Change Clinical Practice and Academic Life in the 21st Century

Friday, May 3, 2024
9:30 AM – 1:15 PM ET
Location: Metro Toronto Convention Centre: 107

Pre-Conference Ticketed Event
Disclosure(s):
Zachary A. Vesoulis, MD, MSCI: Edwards LifeSciences (Ongoing) (Products/Services: Research Support including clinical trials & the principal or named investigator); Medtronic (Ongoing) (Products/Services: Consultant, Research Support including clinical trials & the principal or named investigator)

Session

Description: Over the course of this 5.5-hour session, we will provide a comprehensive overview of how artificial intelligence is poised to fundamentally change the nature of academic neonatology. This session is designed for learners at all stages from novice through expert; a technical background is not necessary. All talks will follow a systematic approach highlighting what has been done so far, current limitations, and the potential future benefits. We will also discuss misconceptions, skepticism, and potential regulatory implications. Time will be allotted for audience Q&A.

The session will begin with an introduction to AI concepts and move through a "showcase" of how it is already being applied to major NICU problems (including sepsis, BPD, NEC, and others). Prior to lunch, the discussion will move to ChatGPT with an in-depth conversation of how computers will aid in writing papers, clinical guidelines, letters of recommendation, and the ethical challenges it raises. Participants should bring a laptop to use these tools along with the speakers.

After lunch, we will host an AI competition. Teams of AI researchers will be given a NICU problem and a sample dataset in advance. Each team will build their best AI model and present the results in front of a live audience, hoping to win their hearts and minds. The audience will then vote on the most convincing approach and a winner will be crowned. We will conclude with a networking reception, where likeminded individuals can connect and foster future collaborations. Pre-session coffee and a box lunch are included.

Cost: $125 (includes box lunch)

Learning Objectives:

  • Upon completion, participants will understand major classes of machine learning/AI algorithms through real world clinical examples.
  • Upon completion, participants will become familiar with large language models (ChatGPT) and how this tool can be applied to accelerate many tasks in academic medicine.
  • Upon completion, participants make connections with other neonatologists with research and clinical interests in artificial intelligence.

Presentations:

  • 9:30 AM – 10:30 AM ET
    AI Bake-off Challenge: Live Competition

    Speaker: Zachary A. Vesoulis, MD, MSCI – Washington University in St. Louis School of Medicine

  • 10:30 AM – 11:00 AM ET
    AI/Machine Learning 101

    Speaker: James S. Barry, MD, MBA (he/him/his) – University of Colorado School of Medicine

  • 11:00 AM – 11:15 AM ET
    AI Showcase: Sepsis Models

    Speaker: Brynne Sullivan, MD, MSCR (she/her/hers) – University of Virginia School of Medicine

  • 11:15 AM – 11:30 AM ET
    AI Showcase: BPD Prediction Models

    Speaker: Alvaro Moreira, MD, MSc – The University of Texas Health Science Center at San Antonio Joe R. and Teresa Lozano Long School of Medicine

  • 11:30 AM – 11:45 AM ET
    AI Showcase: Extubation Readiness

    Speaker: Lindsey A. Knake, MD (she/her/hers) – University of Iowa Roy J. and Lucille A. Carver College of Medicine

  • 11:45 AM – 12:00 PM ET
    Working Lunch in Room (Box Lunch Included)

    Speaker: Lindsey A. Knake, MD (she/her/hers) – University of Iowa Roy J. and Lucille A. Carver College of Medicine

  • 12:00 PM – 12:15 PM ET
    AI Showcase: NEC Prediction and Diagnosis

    Speaker: Thomas Hooven, MD (he/him/his) – University of Pittsburgh School of Medicine

  • 12:15 PM – 12:30 PM ET
    Welcome and Faculty Introduction

    Speaker: Wissam Shalish, MD PhD – McGill University Faculty of Medicine and Health Sciences

  • 12:30 PM – 12:45 PM ET
    AI Showcase: ROP and AI

    Speaker: Ryan M. McAdams, MD (he/him/his) – University of Wisconsin School of Medicine and Public Health

  • 12:45 PM – 1:15 PM ET
    Meet ChatGPT: Large Language Models and Academia

    Speaker: Dean Montgomery, PhD, MA (cantab), MSc – Medtronic