Interventional Radiology Reporting Standards and Checklist for Artificial Intelligence Research Evaluation (iCARE).

Journal: Cardiovascular and interventional radiology
Published Date: Jun 25, 2025

Abstract

As artificial intelligence (AI) becomes increasingly prevalent within interventional radiology (IR) research and clinical practice, steps must be taken to ensure the robustness of novel technological systems presented in peer-reviewed journals. This report introduces comprehensive standards and an evaluation checklist (iCARE) that covers the application of modern AI methods in IR-specific contexts. The iCARE checklist encompasses the full "code-to-clinic" pipeline of AI development, including dataset curation, pre-training, task-specific training, explainability, privacy protection, bias mitigation, reproducibility, and model deployment. The iCARE checklist aims to support the development of safe, generalizable technologies for enhancing IR workflows, the delivery of care, and patient outcomes.

Authors

  • James T Anibal
    Center for Interventional Oncology, NIH Clinical Center, National Institutes of Health (NIH), Bethesda, USA. anibal.james@nih.gov.
  • Hannah B Huth
    Center for Interventional Oncology, NIH Clinical Center, National Institutes of Health (NIH), Bethesda, USA.
  • Tom Boeken
    Vascular and Oncological Interventional Radiology, University of Paris, Hopital Européen Georges Pompidou, Paris, France.
  • Dania Daye
    Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA. Electronic address: ddaye@mgh.harvard.edu.
  • Judy Gichoya
    Department of Radiology, Medical College of Georgia at Augusta University, 1120 15th St, Augusta, GA 30912 (Y.T.); and Department of Radiology, Emory University, Atlanta, Ga (B.V., E.K., A.P., J.G., N.S., H.T.).
  • Fernando Gómez Muñoz
    Imagen Médica, Hospital Universitario y Politécnico La Fe/Antoni Van Leeuwenhoek-NKI, Amsterdam, The Netherlands.
  • Julius Chapiro
    Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar Street, New Haven, CT 06520. Electronic address: julius.chapiro@yale.edu.
  • Bradford J Wood
    Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
  • Daniel Y Sze
    Journal for Vascular and Interventional Radiology, Philadelphia, USA.
  • Klaus Hausegger
    CardioVascular and Interventional Radiology, Vienna, Austria.

Keywords

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