Research-based clinical deployment of artificial intelligence algorithm for prostate MRI.

Journal: Abdominal radiology (New York)
Published Date: May 26, 2025

Abstract

PURPOSE: A critical limitation to deployment and utilization of Artificial Intelligence (AI) algorithms in radiology practice is the actual integration of algorithms directly into the clinical Picture Archiving and Communications Systems (PACS). Here, we sought to integrate an AI-based pipeline for prostate organ and intraprostatic lesion segmentation within a clinical PACS environment to enable point-of-care utilization under a prospective clinical trial scenario.

Authors

  • Stephanie A Harmon
    Clinical Research Directorate, Frederick National Laboratory for Cancer Research sponsored by the National Cancer Institute, Frederick, Maryland, USA.
  • Jesse Tetreault
    NVIDIA Corporation, Bethesda, Maryland, USA.
  • Omer Tarik Esengur
    Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Ming Qin
    Nvidia (United States), Santa Clara, USA.
  • Enis C Yilmaz
    Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Victor Chang
    International Business School Suzhou, Xi'an Jiaotong-Liverpool University, Suzhou, China. victorchang.research@gmail.com.
  • Dong Yang
    College of Chemistry and Chemical Engineering, Shaanxi University of Science and Technology Xi'an 710021 China yangdong@sust.edu.cn.
  • Ziyue Xu
    Center for Infectious Disease Imaging (CIDI), Radiology and Imaging Science Department, National Institutes of Health (NIH), Bethesda, MD 20892, United States.
  • Gregg Cohen
    Clinical Center, Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Maryland, United States of America.
  • Jeff Plum
    National Institutes of Health, Bethesda, USA.
  • Testi Sherif
    National Institutes of Health, Bethesda, USA.
  • Ron Levin
    National Institutes of Health, Bethesda, USA.
  • Alexander Schmidt-Richberg
    Philips (United States), Andover, USA.
  • Scott Thompson
    Philips (United States), Andover, USA.
  • Samuel Coons
    Philips Healthcare, Cambridge, MA.
  • Te Chen
    The Hospital Group of The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Peter L Choyke
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Daguang Xu
    NVIDIA, Santa Clara, CA, USA.
  • Sandeep Gurram
    National Cancer Institute, Bethesda, MD.
  • Bradford J Wood
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Peter A Pinto
    Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Baris Turkbey
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.

Keywords

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