An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 2: Implementation Considerations and Harms

被引:1
|
作者
Warren, Blair Edward [1 ,2 ]
Bilbily, Alexander [1 ,3 ,4 ]
Gichoya, Judy Wawira [5 ]
Chartier, Lucas B. [6 ,7 ]
Fawzy, Aly [1 ]
Barragan, Camilo [1 ,2 ]
Jaberi, Arash [1 ,2 ]
Mafeld, Sebastian [1 ,2 ]
机构
[1] Univ Toronto, Dept Med Imaging, 263 McCaul St,4th Floor, Toronto, ON M5T 1W7, Canada
[2] Univ Hlth Network, Joint Dept Med Imaging, Toronto, ON, Canada
[3] 16 Bit Inc, Toronto, ON, Canada
[4] Univ Toronto, Sunnybrook Hlth Sci Ctr, Toronto, ON, Canada
[5] Emory Univ, Dept Radiol, Atlanta, GA USA
[6] Univ Toronto, Dept Med, Div Emergency Med, Toronto, ON, Canada
[7] Univ Hlth Network, Dept Emergency Med, Toronto, ON, Canada
来源
CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES | 2024年 / 75卷 / 03期
关键词
artificial intelligence; interventional radiology; safety; harm-reduction;
D O I
10.1177/08465371241236377
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
The introduction of artificial intelligence (AI) in interventional radiology (IR) will bring about new challenges and opportunities for patients and clinicians. AI may comprise software as a medical device or AI-integrated hardware and will require a rigorous evaluation that should be guided based on the level of risk of the implementation. A hierarchy of risk of harm and possible harms are described herein. A checklist to guide deployment of an AI in a clinical IR environment is provided. As AI continues to evolve, regulation and evaluation of the AI medical devices will need to continue to evolve to keep pace and ensure patient safety. Visual Abstract This is a visual representation of the abstract. L'av & egrave;nement de l'intelligence artificielle (IA) en radiologie d'intervention (RI) donnera lieu & agrave; de nouvelles probl & eacute;matiques et possibilit & eacute;s touchant & agrave; la fois les patients et les cliniciens. L'IA, qu'elle se pr & eacute;sente sous forme de logiciel & agrave; titre d'instrument m & eacute;dical ou d'appareils avec une fonction d'IA int & eacute;gr & eacute;e, exigera une & eacute;valuation minutieuse qui devra & ecirc;tre dirig & eacute;e selon le niveau de risque associ & eacute; & agrave; sa mise en oe uvre. Le pr & eacute;sent article contient un classement des risques de pr & eacute;judice, ainsi qu'une description des pr & eacute;judices potentiels de ces outils. Une liste de contr & ocirc;le servant & agrave; diriger le d & eacute;ploiement de l'IA dans un cadre clinique de RI est propos & eacute;e. Au fur et & agrave; mesure que l'IA & eacute;volue, la r & eacute;glementation et l'& eacute;valuation des dispositifs m & eacute;dicaux ayant recours & agrave; l'IA devront aussi progresser afin de rester & agrave; jour et de garantir la s & eacute;curit & eacute; des patients.
引用
收藏
页码:568 / 574
页数:7
相关论文
共 50 条
  • [1] An Introductory Guide to Artificial Intelligence in Interventional Radiology: Part 1 Foundational Knowledge
    Warren, Blair Edward
    Bilbily, Alexander
    Gichoya, Judy Wawira
    Conway, Aaron
    Li, Ben
    Fawzy, Aly
    Barragan, Camilo
    Jaberi, Arash
    Mafeld, Sebastian
    CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 2024, 75 (03): : 558 - 567
  • [2] Prime Time for Artificial Intelligence in Interventional Radiology
    Jarrel Seah
    Tom Boeken
    Marc Sapoval
    Gerard S. Goh
    CardioVascular and Interventional Radiology, 2022, 45 : 283 - 289
  • [3] Challenges of Implementing Artificial Intelligence in Interventional Radiology
    Mazaheri, Sina
    Loya, Mohammed F.
    Newsome, Janice
    Lungren, Mathew
    Gichoya, Judy Wawira
    SEMINARS IN INTERVENTIONAL RADIOLOGY, 2021, 38 (05) : 554 - 559
  • [4] Prime Time for Artificial Intelligence in Interventional Radiology
    Seah, Jarrel
    Boeken, Tom
    Sapoval, Marc
    Goh, Gerard S.
    CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY, 2022, 45 (03) : 283 - 289
  • [5] 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
    CardioVascular and Interventional Radiology, 2023, 46 : 1303 - 1307
  • [6] CIRSE Position Paper on Artificial Intelligence in Interventional Radiology
    Najafi, Arash
    Cazzato, Roberto Luigi
    Meyer, Bernhard C.
    Pereira, Philippe L.
    Alberich, Angel
    Lopez, Antonio
    Ronot, Maxime
    Fritz, Jan
    Maas, Monique
    Benson, Sean
    Haage, Patrick
    Munoz, Fernando Gomez
    CARDIOVASCULAR AND INTERVENTIONAL RADIOLOGY, 2023, 46 (10) : 1303 - 1307
  • [7] Artificial intelligence in interventional radiology: state of the art
    Glielmo, Pierluigi
    Fusco, Stefano
    Gitto, Salvatore
    Zantonelli, Giulia
    Albano, Domenico
    Messina, Carmelo
    Sconfienza, Luca Maria
    Mauri, Giovanni
    EUROPEAN RADIOLOGY EXPERIMENTAL, 2024, 8 (01)
  • [8] Current and emerging artificial intelligence applications for pediatric interventional radiology
    Sudhen B. Desai
    Anuj Pareek
    Matthew P. Lungren
    Pediatric Radiology, 2022, 52 : 2173 - 2177
  • [9] Artificial intelligence in diagnostic and interventional radiology: Where are we now?
    Boeken, Tom
    Feydy, Jean
    Lecler, Augustin
    Soyer, Philippe
    Feydy, Antoine
    Barat, Maxime
    Durona, Loic
    DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2023, 104 (01) : 1 - 5
  • [10] Current and emerging artificial intelligence applications for pediatric interventional radiology
    Desai, Sudhen B.
    Pareek, Anuj
    Lungren, Matthew P.
    PEDIATRIC RADIOLOGY, 2022, 52 (11) : 2173 - 2177