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Updated: May 12, 2026

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
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As how artificial intelligence is revolutionizing endoscopy.

Jean-Francois Rey1

  • 1Institut Arnaut Tzanck Gastrointestinal Unt, Saint Laurent du Var, France.

Clinical Endoscopy
|March 8, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) enhances diagnostic and therapeutic endoscopy by improving lesion detection and characterization. Further trials are needed to standardize AI software for widespread clinical adoption in digestive endoscopy.

Keywords:
Artificial intelligenceCapsule endoscopyDigestive endoscopy

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Area of Science:

  • Gastroenterology
  • Medical Technology
  • Artificial Intelligence

Background:

  • Information technology advances necessitate improved machine performance via artificial intelligence (AI).
  • AI integration into endoscopy offers potential benefits for diagnosis and treatment across the gastrointestinal tract.
  • Assessing the clinical utility and benefits of AI in daily endoscopic practice is crucial.

Purpose of the Study:

  • To explore the benefits and clinical usefulness of artificial intelligence (AI) in diagnostic and therapeutic endoscopy.
  • To discuss the role of AI in improving quality assurance and outcomes in endoscopic procedures.
  • To highlight the potential of AI in enhancing gastric and colonic cancer screening.

Main Methods:

  • Review of AI applications in endoscopy, including computer-assisted detection (CADe) and computer-assisted diagnosis (CADx).
  • Discussion of AI's role in quality assurance for procedures like colonoscopy.
  • Examination of AI's function in advanced tools like video capsule endoscopy.

Main Results:

  • AI systems, categorized as CADe and CADx, show promise in lesion detection and characterization.
  • Computer-aided endoscopy, including video capsule endoscopy, demonstrates AI's capability in image storage and diagnosis.
  • AI has the potential to significantly improve gastric and colonic cancer screening, especially in non-expert settings.

Conclusions:

  • Artificial intelligence (AI) represents a significant advancement in digestive endoscopy.
  • Standardization and assessment of AI software are necessary for reliable clinical integration.
  • Healthcare providers should support AI adoption, with prospective multicenter trials essential before widespread implementation.