Artificial intelligence models derived from 2D transperineal ultrasound images in the clinical diagnosis of stress urinary incontinence.

Zhang, Man; Lin, Xin; Zheng, Zhijuan; Chen, Ying; Ren, Yong; Zhang, Xinling

Zhang, Man; Lin, Xin; Zheng, Zhijuan; Chen, Ying; Ren, Yong; Zhang, Xinling.

Afiliação

Zhang M; Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, NO.600 Tianhe Road, Guangzhou, 510630, Guangdong Province, China.
Lin X; Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, NO.600 Tianhe Road, Guangzhou, 510630, Guangdong Province, China.
Zheng Z; Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, NO.600 Tianhe Road, Guangzhou, 510630, Guangdong Province, China.
Chen Y; Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, NO.600 Tianhe Road, Guangzhou, 510630, Guangdong Province, China.
Ren Y; Artificial Intelligence Innovation Center, Research Institute of Tsinghua, Pearl River Delta; No. 98 Xiangxue 8th Road, Guangzhou, 510530, Guangdong Province, China. koalary@qq.com.
Zhang X; Department of Ultrasound, The Third Affiliated Hospital of Sun Yat-Sen University, NO.600 Tianhe Road, Guangzhou, 510630, Guangdong Province, China. zhxinl@mail.sysu.edu.cn.

Int Urogynecol J ; 33(5): 1179-1185, 2022 05.

Article em En | MEDLINE | ID: mdl-34028577

Assuntos

Incontinência Urinária por Estresse; Incontinência Urinária; Inteligência Artificial; Humanos; Ultrassonografia/métodos; Incontinência Urinária por Estresse/diagnóstico por imagem; Manobra de Valsalva

Palavras-chave

Artificial intelligence (AI) algorithm; Stress urinary incontinence (SUI); Transperineal ultrasound (TPUS)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Incontinência Urinária / Incontinência Urinária por Estresse Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Int Urogynecol J Assunto da revista: GINECOLOGIA / UROLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Reino Unido

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