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Artificial Intelligence in Endoscopy Quality Measures.

Soban Maan1, Rohit Agrawal1, Shailendra Singh1

  • 1Division of Gastroenterology & Hepatology, Department of Medicine, West Virginia University, Morgantown, WV, USA.

Gastrointestinal Endoscopy Clinics of North America
|February 28, 2025
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Summary
This summary is machine-generated.

Artificial intelligence (AI) can improve gastrointestinal endoscopy quality. AI algorithms are being developed to enhance monitoring and outcomes in endoscopy procedures.

Keywords:
Blind spotsBowel preparation assessmentDeep learningInspection timeQuality metricsReal-time quality monitoringWithdrawal time monitoring

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Area of Science:

  • Medical Technology
  • Gastroenterology
  • Artificial Intelligence

Background:

  • Gastrointestinal endoscopy quality is crucial for diagnostic and therapeutic effectiveness.
  • Current quality assessment methods may be limited.
  • Artificial intelligence offers potential for objective and enhanced quality monitoring.

Purpose of the Study:

  • To review the existing literature on artificial intelligence algorithms for gastrointestinal endoscopy quality assessment.
  • To highlight the capabilities and applications of AI in improving endoscopy quality.
  • To provide an overview of AI-driven advancements in the field.

Main Methods:

  • Systematic literature search for studies on AI in endoscopy quality assessment.
  • Analysis of AI algorithm development and validation for quality monitoring.
  • Review of reported outcomes and performance metrics.

Main Results:

  • Various AI algorithms have been developed for different aspects of endoscopy quality.
  • AI shows promise in detecting adenomas, assessing withdrawal time, and providing real-time feedback.
  • Studies indicate potential for AI to improve detection rates and standardization.

Conclusions:

  • Artificial intelligence is a rapidly evolving tool with significant potential to enhance gastrointestinal endoscopy quality.
  • Further research and clinical validation are needed to fully integrate AI into routine endoscopy practice.
  • AI-driven quality assessment can lead to improved patient outcomes and more efficient healthcare delivery.