Artificial Intelligence in Endoscopy Quality Measures.

Journal: Gastrointestinal endoscopy clinics of North America
PMID: 40021239

Abstract

Quality of gastrointestinal endoscopy is a major determinant of its effectiveness. Artificial intelligence (AI) has the potential to enhance quality monitoring and improve endoscopy outcomes. This article reviews the current literature on AI algorithms that have been developed for endoscopy quality assessment.

Authors

  • Soban Maan
    Division of Gastroenterology & Hepatology, Department of Medicine, West Virginia University, Morgantown, WV, USA.
  • Rohit Agrawal
    Division of Gastroenterology and Hepatology, Department of Medicine, University of West Virginia, West Virginia, USA.
  • Shailendra Singh
    a Department of Computer Science and Engineering , PEC University of Technology , Chandigarh , India.
  • Shyam Thakkar
    Division of Gastroenterology, Allegheny Health Network, Pittsburgh, Pennsylvania; Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania. Electronic address: Shyam.Thakkar@AHN.org.

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