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Academic and Research Skills

Artificial Intelligence

EHR/Medical Informatics

Neonatology

Social Media & Technology

Trainee
Session Type: Pre-Conference Program

From Cribs to Computer Code: Surfing the AI Wave in Neonatology

Friday, April 25, 2025
8:30am – 2:00pm HST
Location: Convention Center: 306
CE: CME: 5.0
Ethics CME: 1.5

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, Speaker Honorarium including speakers bureau, symposia, and expert witness)

Session Description: Over the course of this 4-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; a technical background is not necessary. In addition to exploring the current state of the art, we will also discuss misconceptions, skepticism, and potential regulatory implications. Ample time for Q&A is provided throughout the session.

We will start with an introduction to AI and then cover three key areas: a) obtaining and handling data, b) practical application of AI tools to clinical problems, and c) interpreting AI research papers. Before lunch, we’ll dive into ChatGPT, discussing its use in writing papers, clinical guidelines, and letters of recommendation, along with ethical considerations. Participants are encouraged to bring laptops to experiment with these tools.

After lunch, we will host an AI competition where teams of researchers tackle a NICU problem using a provided dataset. Each team will present their model, explaining the theory behind their approach, aiming to win over the audience, who will vote on the most convincing solution. Moderators will announce the most accurate model, 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.

Learning Objectives:

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

Presentations:

  • 8:30am – 8:45am HST
    Welcome and faculty introduction, Meet ChatGPT: Large language models and academia

    Speaker: Zachary A. Vesoulis, MD MSCI (he/him/his) – Washington University School of Medicine

  • 8:45am – 9:15am HST
    Ai/machine Learning 101

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

  • 9:15am – 9:45am HST
    AI Showcase: Obtaining and Handling Data

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

  • 9:35am – 11:00am HST
    Q&A
  • 9:45am – 10:15am HST
    AI Showcase: Reading and Understanding an AI Research Paper

    Speaker: Ryan M. McAdams, MD (he/him/his) – University of Wisconsin

  • 10:15am – 10:45am HST
    AI Showcase: Practical Clinical Applications of AI

    Speaker: Lindsey Knake, MD, MS – University of Iowa Stead Family Children's Hospital

  • 11:00am – 11:30am HST
    Lunch Break
  • 11:30am – 11:45am HST
    AI Bake off Challenge: Live Competition Introduction and Q&A

    Speaker: Wissam Shalish, MD, PhD – McGill University Health Center

  • 11:45am – 12:15pm HST
    AI Bake off Challenge: Live Competition Team #1

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

  • 12:15pm – 12:45pm HST
    AI Bake off Challenge: Live Competition Team #2

    Speaker: Kristyn Beam, MD MPH (she/her/hers) – Beth Israel Deaconess Medical Center

  • 12:45pm – 1:15pm HST
    AI Bake off Challenge: Live Competition Team #3

    Speaker: Ameena Husain, D.O. (she/her/hers) – University of Utah School of Medicine

  • 1:15pm – 1:45pm HST
    AI Bake off Challenge: Live Competition Team #4

    Speaker: Emma Holmes, MD (she/her/hers) – The Mount Sinai Kravis Children's Hospital

  • 1:45pm – 2:00pm HST
    Q&A