Validation of the commercial coronary computed tomographic angiography artificial intelligence for coronary artery stenosis: a cross-sectional study.

Han, Qi; Jing, Feihua; Sun, Zhiguo; Liu, Fei; Zhang, Jucai; Wang, Jian; Liang, Hongqin

Han, Qi; Jing, Feihua; Sun, Zhiguo; Liu, Fei; Zhang, Jucai; Wang, Jian; Liang, Hongqin.

Afiliación

Han Q; Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Jing F; Department of Radiology, Linfen Central Hospital, Linfen, China.
Sun Z; Department of Interventional Radiology, UIanqab Central Hospital, UIanqab, China.
Liu F; Department of Radiology, Nanjing Medical University Second Affiliated Hospital, Nanjing, China.
Zhang J; Department of Radiology, The Second People Hospital of Liaocheng, Liaocheng, China.
Wang J; Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Liang H; Department of Radiology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.

Quant Imaging Med Surg ; 13(6): 3789-3801, 2023 Jun 01.

Article en En | MEDLINE | ID: mdl-37284069

Palabras clave

Coronary artery computed tomographic angiography; artificial intelligence (AI); coronary artery disease (CAD); coronary artery stenosis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Clinical_trials / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Quant Imaging Med Surg Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: China

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