Evaluation of an Artificial Intelligence-Augmented Digital System for Histologic Classification of Colorectal Polyps.

Journal: JAMA network open
PMID:

Abstract

IMPORTANCE: Colorectal polyps are common, and their histopathologic classification is used in the planning of follow-up surveillance. Substantial variation has been observed in pathologists' classification of colorectal polyps, and improved assessment by pathologists may be associated with reduced subsequent underuse and overuse of colonoscopy.

Authors

  • Mustafa Nasir-Moin
    Department of Biomedical Data Science, Geisel School of Medicine, Hanover, New Hampshire.
  • Arief A Suriawinata
    Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
  • Bing Ren
    Ludwig Institute for Cancer Research, La Jolla, CA, 92093, USA.
  • Xiaoying Liu
    Department of Pathology and Laboratory Medicine, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
  • Douglas J Robertson
    VA Outcomes Group, White River Junction VA Medical Center, White River Junction, VT; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Hanover, NH.
  • Srishti Bagchi
    Department of Biomedical Data Science, Geisel School of Medicine, Hanover, New Hampshire.
  • Naofumi Tomita
    Biomedical Data Science Department, Dartmouth College, Hanover, NH 03755, USA.
  • Jason W Wei
    Department of Computer Science, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
  • Todd A MacKenzie
    Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH, United States.
  • Judy R Rees
    Department of Community and Family Medicine, Geisel School of Medicine, Hanover, New Hampshire.
  • Saeed Hassanpour
    Lia Harrington, Todd MacKenzie, and Saeed Hassanpour, Geisel School of Medicine at Dartmouth College, Hanover; Roberta diFlorio-Alexander, Katherine Trinh, and Arief Suriawinata, Dartmouth-Hitchcock Medical Center, Lebanon, NH.