Stimulated Raman Histology Interpretation by Artificial Intelligence Provides Near-Real-Time Pathologic Feedback for Unprocessed Prostate Biopsies.

Journal: The Journal of urology
Published Date:

Abstract

PURPOSE: Stimulated Raman histology is an innovative technology that generates real-time, high-resolution microscopic images of unprocessed tissue, significantly reducing prostate biopsy interpretation time. This study aims to evaluate the ability for an artificial intelligence convolutional neural network to interpretate prostate biopsy histologic images created with stimulated Raman histology.

Authors

  • M P Mannas
    Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
  • F M Deng
    Department of Pathology, NYU Langone Health, New York, New York.
  • A Ion-Margineanu
    Invenio Imaging, Santa Clara, California.
  • D Jones
    Department of Pathology, NYU Langone Health, New York, New York.
  • D Hoskoppal
    Department of Pathology, NYU Langone Health, New York, New York.
  • J Melamed
    Department of Pathology, NYU Langone Health, New York, New York.
  • S Pastore
    Invenio Imaging, Santa Clara, California.
  • C Freudiger
    Invenio Imaging, Santa Clara, California.
  • D A Orringer
    Department of Neurosurgery, NYU Langone Health, New York, New York.
  • S S Taneja
    Department of Urology, NYU Langone Health, New York, New York.