TY - JOUR
T1 - CIRSE Position Paper on Artificial Intelligence in Interventional Radiology
AU - Najafi, Arash
AU - Cazzato, Roberto Luigi
AU - Meyer, Bernhard C.
AU - Pereira, Philippe L.
AU - Alberich, Angel
AU - López, Antonio
AU - Ronot, Maxime
AU - Fritz, Jan
AU - Maas, Monique
AU - Benson, Sean
AU - Haage, Patrick
AU - Gomez Munoz, Fernando
N1 - Publisher Copyright: © 2023, Springer Science+Business Media, LLC, part of Springer Nature and the Cardiovascular and Interventional Radiological Society of Europe (CIRSE).
PY - 2023/10
Y1 - 2023/10
N2 - 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.
AB - 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.
KW - AI
KW - Artificial intelligence
KW - IR
KW - Interventional radiology
KW - ML
KW - Machine learning
UR - http://www.scopus.com/inward/record.url?scp=85169806024&partnerID=8YFLogxK
U2 - 10.1007/s00270-023-03521-y
DO - 10.1007/s00270-023-03521-y
M3 - Letter
C2 - 37668690
SN - 0174-1551
VL - 46
SP - 1303
EP - 1307
JO - Cardiovascular and interventional radiology
JF - Cardiovascular and interventional radiology
IS - 10
ER -