How artificial intelligence improves radiological interpretation in suspected pulmonary embolism

OBJECTIVES: To evaluate and compare the diagnostic performances of a commercialized artificial intelligence (AI) algorithm for diagnosing pulmonary embolism (PE) on CT pulmonary angiogram (CTPA) with those of emergency radiologists in routine clinical practice. METHODS: This was an IRB-approved retr...

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Detalles Bibliográficos
Autores principales: Cheikh, Alexandre Ben, Gorincour, Guillaume, Nivet, Hubert, May, Julien, Seux, Mylene, Calame, Paul, Thomson, Vivien, Delabrousse, Eric, Crombé, Amandine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938594/
https://www.ncbi.nlm.nih.gov/pubmed/35316363
http://dx.doi.org/10.1007/s00330-022-08645-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938594/
https://www.ncbi.nlm.nih.gov/pubmed/35316363
http://dx.doi.org/10.1007/s00330-022-08645-2

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