Evaluation of navigation and robotic systems for percutaneous image-guided interventions: A novel metric for advanced imaging and artificial intelligence integration.

Journal: Diagnostic and interventional imaging
PMID: 39884887

Abstract

PURPOSE: Navigation and robotic systems aim to improve the accuracy and efficiency of percutaneous image-guided interventions, but the evaluation of their autonomy and integration of advanced imaging and artificial intelligence (AI) is lacking. The purpose of this study was to evaluate the level of automation and integration of advanced imaging and artificial intelligence in navigation and robotic systems for percutaneous image-guided interventions, using established and novel metrics to categorize and compare their capabilities.

Authors

  • Francois H Cornelis
    Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY; Department of Radiology, Weill Cornell Medical College, New York, NY.
  • Dimitrios K Filippiadis
    2nd Department of Radiology, General University Hospital "ATTIKON", Medical School, National and Kapodistrian University of Athens, 12462 Athens, Greece.
  • Philipp Wiggermann
    Chefarzt des Instituts für Röntgendiagnostik u. Nuklearmedizin Städtisches Klinikum Braunschweig gGmbH, Braunschweig, Germany.
  • Stephen B Solomon
    Division of Interventional Radiology, Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York.
  • David C Madoff
    Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut.
  • Laurent Milot
    Body and VIR Radiology Department, Hospices Civils de Lyon, Hôpital Edouard Herriot, Lyon, France.
  • Sylvain Bodard
    Department of Radiology, University of Paris Cite, Necker Hospital, Paris, France.

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