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Provider Attitudes and Perceptions on Using Artificial Intelligence in Colonoscopy: A Systematic Review and

Saeed Soleymanjahi1, Niroop Rajashekar2, Sunny Chung3

  • 1Division of Gastroenterology, Mass General Brigham, Harvard School of Medicine, Boston, Massachusetts.

Gastro Hep Advances
|September 8, 2025
PubMed
Summary

Gastroenterology providers are interested in artificial intelligence (AI) for colonoscopy, believing it can improve polyp detection. However, concerns about cost, false positives, and guidelines remain significant barriers to AI adoption.

Keywords:
Adenoma detection rateArtificial intelligenceColonoscopy

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Area of Science:

  • Gastroenterology
  • Medical Technology
  • Artificial Intelligence

Background:

  • Colonoscopy is the standard for colorectal cancer screening but is operator-dependent.
  • Artificial intelligence (AI) integration in colonoscopy offers potential for improved adenoma detection.
  • Successful AI implementation requires understanding provider attitudes and effective human-AI collaboration.

Purpose of the Study:

  • To systematically review provider attitudes and perspectives on AI-assisted colonoscopy.
  • To pool data on provider interest, perceived benefits, and concerns regarding AI in colonoscopy.

Main Methods:

  • Systematic review of 13 studies involving 1538 healthcare providers.
  • Analysis of pooled proportions (Pp) and 95% confidence intervals (CI) for key outcomes.
  • Identification of top-ranked perceived advantages and disadvantages based on participant voting.

Main Results:

  • A large majority of providers (80%) expressed interest in using AI-assisted colonoscopy.
  • Most providers (74%) believed AI can enhance adenoma or polyp detection rates.
  • Key concerns included cost (52%), high false positive rates, and lack of clinical guidelines.

Conclusions:

  • Gastroenterology providers are generally receptive to AI in colonoscopy, anticipating improved detection rates.
  • Provider acceptance is influenced by perceived benefits versus concerns about financial implications, accuracy, and regulatory frameworks.
  • Addressing provider concerns is crucial for the successful integration of AI into colorectal cancer screening.