An artificial intelligence-assisted diagnostic system for the prediction of benignity and malignancy of pulmonary nodules and its practical value for patients with different clinical characteristics.

Zhang, Lichuan; Shao, Yue; Chen, Guangmei; Tian, Simiao; Zhang, Qing; Wu, Jianlin; Bai, Chunxue; Yang, Dawei

Zhang, Lichuan; Shao, Yue; Chen, Guangmei; Tian, Simiao; Zhang, Qing; Wu, Jianlin; Bai, Chunxue; Yang, Dawei.

Afiliación

Zhang L; Department of Respiratory Medicine, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Shao Y; Department of Respiratory Medicine, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Chen G; Department of Respiratory Medicine, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Tian S; Department of Respiratory Medicine, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Zhang Q; Department of Respiratory Medicine, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Wu J; Department of Respiratory Medicine, Affiliated Zhongshan Hospital of Dalian University, Dalian, China.
Bai C; Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital Fudan University, Shanghai, China.
Yang D; Department of Pulmonary and Critical Care Medicine, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China.

Front Med (Lausanne) ; 10: 1286433, 2023.

Article en En | MEDLINE | ID: mdl-38196835

Palabras clave

Chest CT; artificial intelligence (AI); benign and malignant; clinical characteristics; pulmonary nodules

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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Año: 2023 Tipo del documento: Article

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