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Artificial intelligence for pulmonary embolism detection: Is it comparable to radiology residents?

Purpose: To assess the diagnostic performance of a commercial artificial intelligence (AI) software in detecting pulmonary embolism (PE) in emergency settings, compared with on-call radiology residents. Methods: All consecutive emergency CT pulmonary angiographies (CTPA) performed over a 3-month per...

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Autori principali: Periktioni Crina Chrysostomou, Alexandra Platon, Cyril Jaksic, Rodolphe Meyer, Thibaut Desmettre, Pierre-Alexandre Poletti
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2026-12-01
Serie:European Journal of Radiology Open
Soggetti:
Computed tomography
Pulmonary embolism
Artificial intelligence
Diagnostic performance
Emergency
Accesso online:http://www.sciencedirect.com/science/article/pii/S2352047726000742
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