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Area of Science:

  • Gastroenterology
  • Hepatology
  • Endoscopy
  • Artificial Intelligence

Background:

  • The American College of Gastroenterology convened experts to assess AI's role in GI, liver, and endoscopy.
  • The goal was to develop consensus-based recommendations for integrating AI into clinical practice.

Purpose of the Study:

  • To evaluate the current state and future direction of artificial intelligence (AI) in gastroenterology, hepatology, and endoscopy.
  • To develop consensus-based recommendations for responsible AI integration in clinical practice.

Main Methods:

  • A multidisciplinary task force of 32 experts and 12 industry partners conducted literature reviews.
  • A modified Delphi process with electronic voting was used to reach consensus on draft statements.
  • Consensus was defined as ≥70% agreement, with revisions and re-voting for non-consensus items.

Main Results:

  • 43 statements were developed, with 93% reaching consensus rapidly.
  • Computer-aided detection (CADe) shows promise in endoscopy, but real-world impact and long-term outcomes require further study.
  • AI applications in practice management, training, IBD, hepatology, and ethics show potential, emphasizing validation, bias reduction, and workforce training.

Conclusions:

  • AI can augment clinical expertise, enhancing safety, transparency, and equity in GI, liver, and endoscopy care.
  • Priorities for AI adoption include prospective trials, data sharing, bias mitigation, and workforce training.
  • Trustworthy and clinically impactful AI integration requires a focus on pragmatic implementation and multi-institutional collaboration.