[Recognition of abnormal changes in echocardiographic videos by an artificial intelligence assisted diagnosis model based on 3D CNN].

Shen, K K; Zhang, X J; Shao, R J; Zhao, M C; Chen, J J; Yuan, J J; Zhao, J G; Zhu, H H

Shen, K K; Zhang, X J; Shao, R J; Zhao, M C; Chen, J J; Yuan, J J; Zhao, J G; Zhu, H H.

Afiliación

Shen KK; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou 450003, China.
Zhang XJ; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou 450003, China.
Shao RJ; CHISON Medical Technologies Co., LTD. Wuxi 214142, China.
Zhao MC; CHISON Medical Technologies Co., LTD. Wuxi 214142, China.
Chen JJ; CHISON Medical Technologies Co., LTD. Wuxi 214142, China.
Yuan JJ; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou 450003, China.
Zhao JG; Department of Clinical Research Center, Henan Provincial People's Hospital, Zhengzhou 450003, China.
Zhu HH; Department of Ultrasound, Henan Provincial People's Hospital, Zhengzhou 450003, China.

Zhonghua Xin Xue Guan Bing Za Zhi ; 51(7): 750-758, 2023 Jul 24.

Article en Zh | MEDLINE | ID: mdl-37460429

Asunto(s)

Cardiopatías; Hipertensión; Hipotiroidismo; Masculino; Humanos; Inteligencia Artificial; Estudios Retrospectivos; Ecocardiografía/métodos

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Cardiopatías / Hipertensión / Hipotiroidismo Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: Zh Revista: Zhonghua Xin Xue Guan Bing Za Zhi Año: 2023 Tipo del documento: Article

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