Telemedicine/EHR/Medical Informatics

Clinical Research Pathway

Academic and Research Skills

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

Chair(s)

• 

  Judith Dexheimer, MS, PhD, MBA

  Associate Professor
  Emergency Medicine, Biomedical Informatics
  Cincinnati Children's Hospital Medical Center
  Cincinnati, Ohio, United States

Applied machine learning and artificial intelligence continue to invade modern life, driving everything from advertising to automobiles. Big Data are increasingly being used for both research and clinical care. Despite the increase of machine learning applications in both these fields, there remains minimal work being done specifically in pediatrics, which presents a unique environment compared to adult care. Thankfully, pediatricians hold a unique understanding of brain development, which helps provide a baseline for understanding the machine learning concepts modeled after the human brain. At this critical point in informatics research and application, pediatricians must develop a conceptual model of machine learning techniques, identify acceptable use of artificial intelligence 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, assistant professor, and informaticist at Cincinnati Children’s Hospital Medical Center. He will provide a complete primer on machine learning and artificial intelligence from the pediatrics perspective, leveraging the clinician’s conceptual model of brain development to help explain how a neural network works. He will introduce and illustrate the seven steps for developing machine learning algorithms using tangible examples.

Dr. Dexheimer is a biomedical informaticist with a focus in machine learning and decision support, and associate professor at Cincinnati Children’s Hospital Medical Center. She will highlight research being performed at Cincinnati Children’s. She will discuss the role and impact of AI and ML in research with the electronic health records, explore unique aspects of conducting work in pediatrics with biomedical informatics, and discuss the integration of ML into clinical care.

Dr. Kirkendall is the Deputy Director, Center for Healthcare Innovation & Director of Digital Health Innovation at Wake Forest Baptist Health. He will discuss the integration of ML and Natural Language Processing into clinical care and the challenges associated with doing so. He will also highlight research using artificial intelligence being performed at both Cincinnati Children's Hospital and Wake Forest Medical Center.

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 broad review of the pediatric-related machine-learning literature and put it into context for the pediatric provider and will highlight state of the art work currently being performed at the Children’s Hospital of Philadelphia.

Presentations:

• 1:00 PM - 1:22 PM US CT

  Peeking into Machine Learning’s Black Box: Essentials for the Clinician
  

  Presenter: Kevin R. Dufendach, MD, MS, FAAP – Cincinnati Children's Hospital Medical Center
• 1:22 PM - 1:44 PM US CT

  Big Data for Tiny Patients: Applications and Integration of Machine Learning
  

  Presenter: Judith W. Dexheimer, MS, PhD, MBA – Cincinnati Children's Hospital Medical Center
• 1:44 PM - 2:06 PM US CT

  Innovating in Pediatrics using Artificial Intelligence: The Hope, The Hype, and the Realities...and How to Tell Them Apart
  

  Presenter: Eric Kirkendall, MD, MBI – Wake Forest School of Medicine
• 2:06 PM - 2:28 PM US CT

  The Promises and Challenges of Using Machine Learning to Improve Child Health
  

  Presenter: Robert W. Grundmeier, MD – Children's Hospital of Philadelphia
• 2:28 PM - 3:00 PM US CT

  Q&A
  

  Presenter: Belinda Thomas