Artificial intelligence-assisted approach to assessing bowel wall thickness in pediatric inflammatory bowel disease using intestinal ultrasound images.

Journal: Journal of Crohn's & colitis
PMID: 40052532

Abstract

BACKGROUND AND AIM: Intestinal ultrasound (IUS) potentially spares patients from repeated endoscopies under sedation and eliminates the need for alternative imaging modalities like magnetic resonance enterography and computed tomography enterography scans. However, interpreting IUS images is challenging for physicians due to the time-intensive process of identifying markers indicative of inflammatory bowel disease (IBD). This study aims for fully automating the analysis of pediatric IBD to distinguish between abnormal and normal cases.

Authors

  • Logiraj Kumaralingam
    Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.
  • Kenneth Le May
    Edmonton Pediatric IBD Clinic (EPIC), Division of Pediatric Gastroenterology and Nutrition, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
  • Van Bao Dang
    Faculty of Geography, VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • Javaneh Alavi
    Department of Radiology and Diagnostic Imaging, University of Alberta, Edmonton, Alberta, Canada.
  • Hien Q Huynh
    Edmonton Pediatric IBD Clinic (EPIC), Division of Pediatric Gastroenterology and Nutrition, Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada.
  • Lawrence H Le

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