Artificial intelligence assisted endoscopic ultrasound for detection of pancreatic space-occupying lesion: a systematic review and meta-analysis.

Journal: International journal of surgery (London, England)
Published Date: Dec 1, 2023

Abstract

BACKGROUND: Diagnosing pancreatic lesions, including chronic pancreatitis, autoimmune pancreatitis, and pancreatic cancer, poses a challenge and, as a result, is time-consuming. To tackle this issue, artificial intelligence (AI) has been increasingly utilized over the years. AI can analyze large data sets with heightened accuracy, reduce interobserver variability, and can standardize the interpretation of radiologic and histopathologic lesions. Therefore, this study aims to review the use of AI in the detection and differentiation of pancreatic space-occupying lesions and to compare AI-assisted endoscopic ultrasound (EUS) with conventional EUS in terms of their detection capabilities.

Authors

  • Arkadeep Dhali
    NIHR Academic Clinical Fellow in Gastroenterology, University of Sheffield; Internal Medicine Trainee, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Vincent Kipkorir
    School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
  • Bahadar S Srichawla
    University of Massachusetts Chan Medical School, Worcester, MA.
  • Harendra Kumar
    Dow University of Health Sciences, Karachi, Pakistan.
  • Roger B Rathna
    University Hospitals Birmingham, Birmingham, UK.
  • Ibsen Ongidi
    School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
  • Talha Chaudhry
    School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
  • Gisore Morara
    School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
  • Khulud Nurani
    School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
  • Doreen Cheruto
    School of Medicine, Faculty of Health Sciences, University of Nairobi, Nairobi, Kenya.
  • Jyotirmoy Biswas
    College of Medicine and Sagore Dutta Hospitals.
  • Leonard R Chieng
    NIHR Academic Clinical Fellow in Gastroenterology, University of Sheffield; Internal Medicine Trainee, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
  • Gopal Krishna Dhali
    School of Digestive and Liver Diseases, Institute of Postgraduate Medical Education and Research, Kolkata, India.

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