A pathologist-AI collaboration framework for enhancing diagnostic accuracies and efficiencies.

Journal: Nature biomedical engineering
Published Date: Jun 19, 2024

Abstract

In pathology, the deployment of artificial intelligence (AI) in clinical settings is constrained by limitations in data collection and in model transparency and interpretability. Here we describe a digital pathology framework, nuclei.io, that incorporates active learning and human-in-the-loop real-time feedback for the rapid creation of diverse datasets and models. We validate the effectiveness of the framework via two crossover user studies that leveraged collaboration between the AI and the pathologist, including the identification of plasma cells in endometrial biopsies and the detection of colorectal cancer metastasis in lymph nodes. In both studies, nuclei.io yielded considerable diagnostic performance improvements. Collaboration between clinicians and AI will aid digital pathology by enhancing accuracies and efficiencies.

Authors

  • Zhi Huang
    School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, 47907, USA.
  • Eric Yang
    Janssen Research & Development, Titusville, New Jersey, United States of America.
  • Jeanne Shen
    Center for Artificial Intelligence in Medicine and Imaging, Stanford University, 1701 Page Mill Road, Palo Alto, CA, 94304, USA. jeannes@stanford.edu.
  • Dita Gratzinger
    Department of Pathology, Stanford, CA.
  • Frederick Eyerer
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Brooke Liang
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Jeffrey Nirschl
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • David Bingham
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Alex M Dussaq
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Christian Kunder
    Department of Pathology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305, USA.
  • Rebecca Rojansky
    Department of Pathology, Stanford, CA.
  • Aubre Gilbert
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Alexandra L Chang-Graham
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Brooke E Howitt
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Ying Liu
    The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
  • Emily E Ryan
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Troy B Tenney
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Xiaoming Zhang
    Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
  • Ann Folkins
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Edward J Fox
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Kathleen S Montine
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • Thomas J Montine
    Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
  • James Zou
    Department of Biomedical Data Science, Stanford University, Stanford, California.

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