The potential of artificial intelligence-based applications in kidney pathology.

Journal: Current opinion in nephrology and hypertension
Published Date:

Abstract

PURPOSE OF REVIEW: The field of pathology is currently undergoing a significant transformation from traditional glass slides to a digital format dependent on whole slide imaging. Transitioning from glass to digital has opened the field to development and application of image analysis technology, commonly deep learning methods (artificial intelligence [AI]) to assist pathologists with tissue examination. Nephropathology is poised to leverage this technology to improve precision, accuracy, and efficiency in clinical practice.

Authors

  • Roman D Büllow
    Institute of Pathology.
  • Jon N Marsh
  • S Joshua Swamidass
    Department of Computer Science and Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, Missouri.
  • Joseph P Gaut
  • Peter Boor
    Institute of Pathology, University Hospital Aachen, RWTH Aachen University, Aachen, Germany.