Artificial Intelligence-based Analytics for Diagnosis of Small Bowel Enteropathies and Black Box Feature Detection.

Journal: Journal of pediatric gastroenterology and nutrition
PMID: 33534362

Abstract

OBJECTIVES: Striking histopathological overlap between distinct but related conditions poses a disease diagnostic challenge. There is a major clinical need to develop computational methods enabling clinicians to translate heterogeneous biomedical images into accurate and quantitative diagnostics. This need is particularly salient with small bowel enteropathies; environmental enteropathy (EE) and celiac disease (CD). We built upon our preliminary analysis by developing an artificial intelligence (AI)-based image analysis platform utilizing deep learning convolutional neural networks (CNNs) for these enteropathies.

Authors

  • Sana Syed
    School of Medicine, University of Virginia, Charlottesville, VA.
  • Lubaina Ehsan
    School of Medicine, University of Virginia, Charlottesville, VA.
  • Aman Shrivastava
    Data Science Institute, University of Virginia, Charlottesville, VA.
  • Saurav Sengupta
    Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA.
  • Marium Khan
    Department of Pediatrics, School of Medicine, University of Virginia, Charlottesville, VA.
  • Kamran Kowsari
    Systems and Information Engineering, University of Virginia, Charlottesville, VA.
  • Shan Guleria
    Dept. of Internal Medicine, Rush University Medical Center, Chicago, IL.
  • Rasoul Sali
    Department of Systems & Information Engineering, University of Virginia, Charlottesville, VA, USA.
  • Karan Kant
    Data Science Institute, University of Virginia, Charlottesville.
  • Sung-Jun Kang
    Data Science Institute, University of Virginia, Charlottesville.
  • Kamran Sadiq
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Najeeha T Iqbal
    Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Lin Cheng
    Department of Radiology, Southwest Hospital, Third Military Medical University (Army Military Medical University), Chongqing, China.
  • Christopher A Moskaluk
    Deparment of Pathology, University of Virginia, Charlottesville.
  • Paul Kelly
    Blizard Institute, Barts and The London School of Medicine, Queen Mary University of London, London, United Kingdom.
  • Beatrice C Amadi
    Tropical Gastroenterology and Nutrition group, University of Zambia School of Medicine, Lusaka, Zambia.
  • Syed Asad Ali
    Department of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
  • Sean R Moore
    Division of Pediatric Gastroenterology and Hepatology, Department of Pediatrics, University of Virginia, Charlottesville.
  • Donald E Brown
    School of Data Science, University of Virginia, Charlottesville, VA.

Keywords

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