Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment.

Journal: Journal of digital imaging
Published Date:

Abstract

The field of artificial intelligence (AI) in medical imaging is undergoing explosive growth, and Radiology is a prime target for innovation. The American College of Radiology Data Science Institute has identified more than 240 specific use cases where AI could be used to improve clinical practice. In this context, thousands of potential methods are developed by research labs and industry innovators. Deploying AI tools within a clinical enterprise, even on limited retrospective evaluation, is complicated by security and privacy concerns. Thus, innovation must be weighed against the substantive resources required for local clinical evaluation. To reduce barriers to AI validation while maintaining rigorous security and privacy standards, we developed the AI Imaging Incubator. The AI Imaging Incubator serves as a DICOM storage destination within a clinical enterprise where images can be directed for novel research evaluation under Institutional Review Board approval. AI Imaging Incubator is controlled by a secure HIPAA-compliant front end and provides access to a menu of AI procedures captured within network-isolated containers. Results are served via a secure website that supports research and clinical data formats. Deployment of new AI approaches within this system is streamlined through a standardized application programming interface. This manuscript presents case studies of the AI Imaging Incubator applied to randomizing lung biopsies on chest CT, liver fat assessment on abdomen CT, and brain volumetry on head MRI.

Authors

  • Praitayini Kanakaraj
    Computer Science, Vanderbilt University, Nashville, TN, USA. praitayini.kanakaraj@vanderbilt.edu.
  • Karthik Ramadass
    Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Shunxing Bao
    Vanderbilt University, , Nashville, USA.
  • Melissa Basford
    Vanderbilt University Medical Center, Nashville, TN, USA.
  • Laura M Jones
    Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Ho Hin Lee
    Vanderbilt University, Nashville, TN 37212, USA.
  • Kaiwen Xu
    Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA.
  • Kurt G Schilling
    Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
  • John Jeffrey Carr
    From the Image Sciences Institute (S.G.M.v.V., N.L., M.A.V., I.I.), Departments of Radiology (B.K.V., T.L., P.A.d.J., W.B.V.), Experimental Cardiology (I.E.M.B.), and Radiotherapy (D.H.J.G.v.d.B.), and Imaging Division (H.M.V.), University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, the Netherlands; Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (N.L.); Departments of Biomedical Engineering and Physics (S.G.M.v.V., I.I.) and Radiology and Nuclear Medicine (I.I.), and Amsterdam Cardiovascular Sciences (I.I.), Amsterdam University Medical Center, University of Amsterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands (N.L.); Department of Cardiology, Meander Medical Center, Amersfoort, the Netherlands (I.E.M.B.); Department of Medicine, University of Mississippi Medical Center, Jackson, Miss (A.C.); and Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tenn (J.G.T., J.J.C.).
  • James Gregory Terry
    Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Yuankai Huo
    Vanderbilt University, Nashville, TN 37212, USA.
  • Kim Lori Sandler
    Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Allen T Netwon
    Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Bennett A Landman
    Vanderbilt University, Nashville TN 37235, USA.