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Related Experiment Video

Updated: Sep 17, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Bowel preparation assessment using artificial intelligence: Systematic review.

Kristoffer Mazanti Cold1, Amaan Ali2, Lars Konge3

  • 1Rigshospitalet, CAMES, Copenhagen, Denmark.

Endoscopy International Open
|July 4, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence for bowel preparation (AI-BPS) can standardize and improve colonoscopy accuracy. AI-BPS systems show comparable or superior performance to human ratings and correlate with adenoma detection rates.

Keywords:
CRC screeningEndoscopy Lower GI TractPerformance and complicationsPolyps / adenomas / ...PreparationQuality and logistical aspectsTraining

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Area of Science:

  • Gastroenterology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Insufficient bowel preparation is a primary cause of missed adenomas during colonoscopy.
  • The Boston Bowel Preparation Scale (BBPS) is the standard for assessing bowel prep quality.
  • Artificial intelligence (AI) offers potential for objective and automated bowel preparation assessment.

Purpose of the Study:

  • To systematically review and evaluate Artificial Intelligence-based Bowel Preparation Scale (AI-BPS) systems for colonoscopy.
  • To identify and describe existing AI-BPS technologies and their performance metrics.

Main Methods:

  • A systematic literature review was conducted across MEDLINE, EMBASE, and SCOPUS.
  • Search terms included colonoscopy, Bowel Preparation Scale (BPS), and Artificial Intelligence (AI).
  • Two independent reviewers extracted data from eligible studies.

Main Results:

  • Eight studies met the eligibility criteria, evaluating six AI-BPS systems.
  • Most AI-BPS systems demonstrated comparable or superior performance to expert BBPS ratings.
  • Three studies showed correlations between AI-BPS and adenoma/polyp detection rates.

Conclusions:

  • AI-BPS holds promise for standardizing bowel preparation assessment and potentially outperforming human evaluations.
  • Further research adhering to reporting guidelines is necessary for robust comparisons and meta-analysis.