Artificial Intelligence in endoscopy: A future poll.

Journal: Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology
PMID:

Abstract

Artificial Intelligence [AI] has been a trendy topic in recent years, with many developed medical applications. In gastrointestinal endoscopy, AI systems include computer-assisted detection [CADe] for lesion detection as bleedings and polyps and computer-assisted diagnosis [CADx] for optical biopsy and lesion characterization. The technology behind these systems is based on a computer algorithm that is trained for a specific function. This function could be to recognize or characterize target lesions such as colonic polyps. Moreover, AI systems can offer technical assistance to improve endoscopic performance as scope insertion guidance. Currently, we believe that such technologies still lack legal and regulatory validations as a large sector of doctors and patients have concerns. However, there is no doubt that these technologies will bring significant improvement in the endoscopic management of patients as well as save money and time.

Authors

  • Omar Elshaarawy
    Hepatology and Gastroenterology Department, National Liver Institute, Menoufia University, Menoufia, Egypt; Gastroenterology Department, Royal Liverpool University Hospital, NHS, UK.
  • Mohamed Alboraie
    Department of Internal Medicine, Al-Azhar University, Cairo, Egypt.
  • Mohamed El-Kassas
    Endemic Medicine Department, Faculty of Medicine, Helwan University, Cairo, Egypt. Electronic address: m_elkassas@hq.helwan.edu.eg.