Automated Endoscopic Diagnosis in IBD: The Emerging Role of Artificial Intelligence.

Journal: Gastrointestinal endoscopy clinics of North America
PMID:

Abstract

The emerging role of artificial intelligence (AI) in automated endoscopic diagnosis represents a significant advancement in managing inflammatory bowel disease (IBD). AI technologies are increasingly being applied to endoscopic imaging to enhance the diagnosis, prediction of severity, and progression of IBD and dysplasia-associated colitis surveillance. These AI-assisted endoscopy aim to improve diagnostic accuracy, reduce variability of endoscopy imaging interpretations, and assist clinicians in decision-making processes. By leveraging AI, healthcare providers have the potential to offer more personalized and effective treatments, ultimately improving patient outcomes in IBD care.

Authors

  • Yasuharu Maeda
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Shin-Ei Kudo
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Tsuzuki-ku, Yokohama, 224-8503, Japan.
  • Takanori Kuroki
    Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan.
  • Marietta Iacucci
    National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, Birmingham, UK.