Artificial Intelligence in Gastrointestinal Imaging: Advances and Applications.

Journal: Radiologic clinics of North America
PMID: 40221188

Abstract

While artificial intelligence (AI) has shown considerable progress in many areas of medical imaging, applications in abdominal imaging, particularly for the gastrointestinal (GI) system, have notably lagged behind advancements in other body regions. This article reviews foundational concepts in AI and highlights examples of AI applications in GI tract imaging. The discussion on AI applications includes acute & emergent GI imaging, inflammatory bowel disease, oncology, and other miscellaneous applications. It concludes with a discussion of important considerations for implementing AI tools in clinical practice, and steps we can take to accelerate future developments in the field.

Authors

  • Jaron J R Chong
    The Department of Radiology, McGill University, Montreal, Québec, Canada.
  • Anish Kirpalani
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Robert Moreland
    Department of Medical Imaging, St. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
  • Errol Colak
    Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada.

Keywords

External Resources

Popular Topics
Recent Journals