Diagnostic efficiency of artificial intelligence for pulmonary nodules based on CT scans.

Pan, Wei; Fang, Xutao; Zang, Zhiyi; Chi, Baoan; Wei, Xiaodong; Li, Cui

Pan, Wei; Fang, Xutao; Zang, Zhiyi; Chi, Baoan; Wei, Xiaodong; Li, Cui.

Afiliación

Pan W; Department of Cardio-Thoracic Surgery, The 904th Hospital of Joint Logistic Support Force of PLA Wuxi 214000, Jiangsu, China.
Fang X; Department of Cardio-Thoracic Surgery, The 904th Hospital of Joint Logistic Support Force of PLA Wuxi 214000, Jiangsu, China.
Zang Z; Department of Cardio-Thoracic Surgery, The 904th Hospital of Joint Logistic Support Force of PLA Wuxi 214000, Jiangsu, China.
Chi B; Department of Cardio-Thoracic Surgery, The 904th Hospital of Joint Logistic Support Force of PLA Wuxi 214000, Jiangsu, China.
Wei X; Department of Cardio-Thoracic Surgery, The 904th Hospital of Joint Logistic Support Force of PLA Wuxi 214000, Jiangsu, China.
Li C; Department of Pharmacy, The 904th Hospital of Joint Logistic Support Force of PLA Wuxi 214000, Jiangsu, China.

Am J Transl Res ; 15(5): 3318-3325, 2023.

Article en En | MEDLINE | ID: mdl-37303635

Palabras clave

CT of lung cancer; artificial intelligence; pulmonary nodules

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Am J Transl Res Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

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