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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Главные авторы:	Periktioni Crina Chrysostomou, Alexandra Platon, Cyril Jaksic, Rodolphe Meyer, Thibaut Desmettre, Pierre-Alexandre Poletti
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2026-12-01
Серии:	European Journal of Radiology Open
Предметы:	Computed tomography Pulmonary embolism Artificial intelligence Diagnostic performance Emergency
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2352047726000742
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