Proposals for the use of artificial intelligence in emergency radiology

Thibaut Jacques; Laure Fournier; Marc Zins; Catherine Adamsbaum; Kathia Chaumoitre; Antoine Feydy; Ingrid Millet; Michel Montaudon; Jean-Paul Beregi; Jean-Michel Bartoli; Philippe Cart; Jean-Philippe Masson; Jean-François Meder; Louis Boyer; Anne Cotten

doi:10.1016/j.diii.2020.11.003

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Proposals for the use of artificial intelligence in emergency radiology

Journal article

Open access

Peer reviewed

Proposals for the use of artificial intelligence in emergency radiology

Thibaut Jacques, Laure Fournier, Marc Zins, Catherine Adamsbaum, Kathia Chaumoitre, Antoine Feydy, Ingrid Millet, Michel Montaudon, Jean-Paul Beregi, Jean-Michel Bartoli, …

Diagnostic and Interventional Imaging, Vol.102, pp.63-68

02/2021

DOI: https://doi.org/10.1016/j.diii.2020.11.003

PMID: 33279461

Abstract

Artificial intelligence

Diagnostic imaging

Emergency medical services

Machine learning

Radiology

Artificial intelligence (AI) tools for supporting medical decisions are developing rapidly [1] and some of them are beginning to be deployed in clinical practice.

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Title: Proposals for the use of artificial intelligence in emergency radiology
Creators - without role: Thibaut Jacques - Centre Hospitalier Universitaire de Lille
Laure Fournier - Paris Cardiovascular Research Center
Marc Zins - Hôpital Paris Saint-Joseph
Catherine Adamsbaum - Bicêtre Hospital
Kathia Chaumoitre - Assistance Publique Hôpitaux de Marseille
Antoine Feydy - Hôpital Cochin
Ingrid Millet - Centre Hospitalier Universitaire de Montpellier
Michel Montaudon - Hôpital Cardiologique du Haut-Lévêque
Jean-Paul Beregi - Centre Hospitalier Universitaire de Nîmes
Jean-Michel Bartoli - Collège des Enseignants de Radiologie de France
Philippe Cart - Hôpital Manchester
Jean-Philippe Masson - DRIM FRANCE IA
Jean-François Meder - Centre Hospitalier Sainte-Anne
Louis Boyer - Centre Hospitalier Universitaire de Clermont-Ferrand
Anne Cotten - Hôpital Claude Huriez
Publication Details: Diagnostic and Interventional Imaging, Vol.102, pp.63-68
Grant note: Société Française de Radiologie
Identifiers: 9935976009311
Academic Unit: Institut Desbrest d Epidemiologie et de Sante Publique - IDESP
Language: English
Resource Type: Journal article
Local Fields: hal-03168842