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Generative AI in Pediatric Gastroenterology.

John M Rosen1,2

  • 1University of Arkansas for Medical Sciences, Little Rock, AR, USA. jrosen@uams.edu.

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Generative artificial intelligence (GAI) offers potential benefits for pediatric gastroenterology, but its integration requires clinician understanding and further research. Early evidence suggests broad acceptance, though optimal use and potential biases need investigation.

Keywords:
AI chatbotArtificial intelligenceDigital technologyGenerative AIPediatric gastroenterology

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Pediatric Gastroenterology

Background:

  • Digital technology integration in medicine often outpaces standard development.
  • Clinicians need foundational knowledge of emerging technologies to guide their application.
  • Generative Artificial Intelligence (GAI) is rapidly evolving.

Purpose of the Study:

  • To review the current state of Generative Artificial Intelligence (GAI).
  • To explore potential benefits of GAI in pediatric gastroenterology practice.
  • To identify challenges associated with GAI implementation in this specialty.

Main Methods:

  • Literature review of existing research on GAI in medicine.
  • Analysis of adjacent data relevant to pediatric gastroenterology.
  • Exploration of published evidence on GAI acceptance and development.

Main Results:

  • Limited published research specifically on GAI in pediatric gastroenterology exists.
  • GAI shows potential for improving care quality and efficiency.
  • Early evidence indicates clinician and patient acceptance of GAI in practice.
  • Potential for bias and disparities with GAI use has been identified.

Conclusions:

  • GAI is a readily available digital tool with promise for pediatric gastroenterology.
  • Further investigation is needed to determine optimal GAI utilization in the specialty.
  • Developing best practice guidelines and user skills is crucial for effective GAI integration.