CIRSE Position Paper on Artificial Intelligence in Interventional Radiology

Arash Najafi, Roberto Luigi Cazzato, Bernhard C. Meyer, Philippe L. Pereira, Angel Alberich, Antonio López, Maxime Ronot, Jan Fritz, Monique Maas, Sean Benson, Patrick Haage, Fernando Gomez Munoz

Research output: Contribution to journalLetterAcademicpeer-review

3 Citations (Scopus)

Abstract

Artificial intelligence (AI) has made tremendous advances in recent years and will presumably have a major impact in health care. These advancements are expected to affect different aspects of clinical medicine and lead to improvement of delivered care but also optimization of available resources. As a modern specialty that extensively relies on imaging, interventional radiology (IR) is primed to be on the forefront of this development. This is especially relevant since IR is a highly advanced specialty that heavily relies on technology and thus is naturally susceptible to disruption by new technological developments. Disruption always means opportunity and interventionalists must therefore understand AI and be a central part of decision-making when such systems are developed, trained, and implemented. Furthermore, interventional radiologist must not only embrace but lead the change that AI technology will allow. The CIRSE position paper discusses the status quo as well as current developments and challenges.

Original languageEnglish
Pages (from-to)1303-1307
Number of pages5
JournalCardiovascular and interventional radiology
Volume46
Issue number10
DOIs
Publication statusPublished - Oct 2023

Keywords

  • AI
  • Artificial intelligence
  • IR
  • Interventional radiology
  • ML
  • Machine learning

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