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How Artificial Intelligence will Reshape our Interventional Units.
Boeken, Tom; Dean, Carole; Pellerin, Olivier; Sapoval, Marc.
Affiliation
  • Boeken T; AP-HP, Hôpital Européen Georges Pompidou, Department of Vascular and Oncological Interventional Radiology, HEKA INRIA, INSERM PARCC U 970, Université de Paris Cité, 20 Rue LEBLANC, 75015, Paris, France. tom.boeken@aphp.fr.
  • Dean C; Department of Vascular and Oncological Interventional Radiology, AP-HP, Hôpital Européen Georges Pompidou, Paris, France.
  • Pellerin O; AP-HP, Hôpital Européen Georges Pompidou, Department of Vascular and Oncological Interventional Radiology, HEKA INRIA, INSERM PARCC U 970, Université de Paris Cité, 20 Rue LEBLANC, 75015, Paris, France.
  • Sapoval M; AP-HP, Hôpital Européen Georges Pompidou, Department of Vascular and Oncological Interventional Radiology, HEKA INRIA, INSERM PARCC U 970, Université de Paris Cité, 20 Rue LEBLANC, 75015, Paris, France.
Cardiovasc Intervent Radiol ; 47(2): 283-284, 2024 Feb.
Article in En | MEDLINE | ID: mdl-37884800
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Machine Learning Limits: Humans Language: En Journal: Cardiovasc Intervent Radiol Year: 2024 Document type: Article Affiliation country: Francia
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Machine Learning Limits: Humans Language: En Journal: Cardiovasc Intervent Radiol Year: 2024 Document type: Article Affiliation country: Francia