Artificial intelligence in endoscopy and colonoscopy: a comprehensive bibliometric analysis of global research trends.

Journal: Frontiers in medicine
Published Date: May 30, 2025

Abstract

BACKGROUND: Artificial intelligence (AI) has revolutionized the field of gastroenterology, particularly in endoscopic and colonoscopic procedures. These AI technologies aim to enhance diagnostic accuracy by facilitating the detection of gastrointestinal lesions, such as polyps and neoplasms. However, the rapid expansion of research in this area necessitates a comprehensive analysis to assess global trends and contributions. This study aims to conduct a thorough bibliometric and visualization analysis of global research focused on AI applications in endoscopy and colonoscopy.

Authors

  • Negin Letafatkar
    Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Amr Ali Mohamed Abdelgawwad El-Sehrawy
    Department of Internal Medicine, Diabetes, Endocrinology and Metabolism, Mansoura University, Mansoura, Egypt.
  • Kdv Prasad
    Faculty of Research Symbiosis Institute of Business Management, Hyderabad; Symbiosis International (Deemed University), Pune, India.
  • Ahmad Alkhayyat
    Department of Computer Techniques Engineering, College of Technical Engineering, The Islamic University, Najaf, Iraq; Department of Computer Techniques Engineering, College of Technical Engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq; Department of Computers Techniques Engineering, College of Technical Engineering, The Islamic University of Babylon, Babylon, Iraq.
  • Ehsan Amini-Salehi
    Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Maryam Hasanpour
    Department of Civil Engineering, Toronto Metropolitan University, Toronto, Canada.
  • Masoomeh Namdar Taleshani
    Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Mohammad Hashemi
    Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
  • Hadi Alotaibi
    Department of Medicine, Vision Colleges, Riyadh, Saudi Arabia.
  • Pegah Rashidian
    Vali-e-Asr Reproductive Health Research Center, Family Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Mohammad-Hossein Keivanlou
    Gastrointestinal and Liver Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran.
  • Soheil Hassanipour
    Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran.

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