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Evaluation ViewAttendees 50
Panel Discussion

Academic and Research Skills

Clinical Research

EHR/Medical Informatics

Social Media & Technology

Telemedicine

Trainee
Session Type: Panel Discussion

Bots for Tots: Artificial Intelligence and Machine Learning in Pediatric Care and Research

Monday, May 6, 2024
1:00 PM – 2:30 PM ET
Location: Metro Toronto Convention Centre: 718 B
CE: Live CME: 1.5
Ethics CME: 1.5

Selected By: SPR
Co-sponsored By: PIDS
Disclosure(s):
Judith Dexheimer, PhD, MBA: I do not have any relevant financial / non-financial relationships with any proprietary interests.

Session

Description: Machine learning (ML) and artificial intelligence (AI) permeate modern life. There is minimal work in pediatrics, which presents a unique environment. At this critical point in informatics research, pediatricians must develop a conceptual model of machine learning techniques, identify acceptable use of AI methods in medicine, and provide examples of state-of-the-art projects being done to help provide the best possible care for their patients.

Dr. Dufendach is a neonatologist and assistant professor at Cincinnati Children’s Hospital Medical Center (CCHMC). He will provide a primer on ML and AI from the pediatrics perspective, leveraging the clinician’s conceptual model of brain development to help explain how a neural network works.

Dr. Dexheimer is a biomedical informaticist focusing on machine learning, and associate professor at CCHMC. She will discuss the role and impact of AI and ML in research with the EHR, explore unique aspects of conducting work in pediatrics with biomedical informatics, and discuss the integration of ML into clinical care.

Dr. Grundmeier is a pediatrician and the Director of Clinical Informatics at the Children’s Hospital of Philadelphia. He is a national expert in the repurposing of clinical data for secondary use in clinical and genomics research. He will provide a review of the pediatric-related machine-learning literature and put it into context for the pediatric provider.

Dr. Mendoça is a pediatric intensivist and the Director of the Division of Biomedical Informatics at CCHMC. She will discuss ethics and regulations in ML and natural language processing research using electronic health record data

Learning Objectives:

  • Upon completion , attendees will be able to describe machine learning in common terms and provide examples of applying machine learning to pediatric care.
  • By the end of the session, attendees will understand the challenges and ethical considerations of using machine learning for research and child health.
  • Upon completion, participants will understand state of the art research being performed with clinical data and examine potential impact of new models.

Presentations:

  • 1:00 PM – 1:22 PM ET
    Big Data for Tiny Patients: Applications and Integration of Machine Learning

    Speaker: Judith Dexheimer, PhD, MBA (she/her/hers) – Cincinnati Children's Hospital Medical Center

  • 1:22 PM – 1:45 PM ET
    Peeking into Machine Learning's Black Box: Essentials for the Clinician

    Speaker: Kevin R. Dufendach, MD, MS, FAAP (he/him/his) – Cincinnati Children's Hospital Medical Center

  • 1:45 PM – 2:07 PM ET
    The Promises and Challenges of Using Machine Learning to Improve Child Health

    Speaker: Robert W. Grundmeier, MD (he/him/his) – Children's Hospital of Philadelphia

  • 2:07 PM – 2:30 PM ET
    The Ethics of Machine Learning Research in Pediatrics

    Speaker: Eneida Mendonca, MD., PhD (she/her/hers) – Cincinnati Children's Hospital Medical Center