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Essential Concepts in Artificial Intelligence: A Guide for Pediatric Providers.

Laura Elena Mendoza Bolivar1, Michael Satzer2

  • 1The Children's Hospital at Montefiore, Bronx, NY 10467, USA.

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Summary

Artificial intelligence (AI) is transforming healthcare, but many medical professionals lack understanding. This guide explains AI concepts and their applications in cardiology and radiology, offering a checklist for evaluating AI tools.

Keywords:
artificial intelligencecongenital heart diseasedeep learningmachine learningpediatric cardiology

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Machine Learning Applications

Background:

  • Artificial intelligence (AI) is increasingly impacting healthcare, yet many medical professionals lack foundational knowledge and practical exposure.
  • Understanding AI is crucial for effective integration into clinical practice and for evaluating new tools.
  • Cardiology and radiology are leading fields in approved medical AI applications.

Purpose of the Study:

  • To define essential artificial intelligence concepts for medical professionals.
  • To illustrate AI applications within cardiology and radiology.
  • To provide a checklist for critical assessment of AI models and discuss challenges in pediatric AI development.

Main Methods:

  • Conceptual review and definition of artificial intelligence and machine learning terms.
  • Presentation of AI applications with examples in cardiology and radiology.
  • Development of a checklist for evaluating AI tools.
  • Discussion of challenges and solutions for pediatric AI development, including multisite collaboration.

Main Results:

  • Demystification of AI concepts for healthcare providers with no prior AI experience.
  • Practical examples of AI implementation in key medical specialties.
  • A structured approach (checklist) to empower providers in assessing AI tools.
  • Identification of unique challenges in pediatric AI development and potential collaborative solutions.

Conclusions:

  • Increased engagement of healthcare professionals with AI is essential for its responsible adoption and development.
  • Understanding AI fundamentals and practical applications can bridge the knowledge gap.
  • Addressing specific challenges, particularly in pediatrics, requires tailored strategies and collaboration.