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An artificial intelligence method for predicting postoperative urinary incontinence based on multiple anatomic parameters of MRI.
Li, Jiakun; Fan, Xuemeng; Tang, Tong; Wu, Erman; Wang, Dongyue; Zong, Hui; Zhou, Xianghong; Li, Yifan; Zhang, Chichen; Zhang, Yihang; Wu, Rongrong; Wu, Cong; Yang, Lu; Shen, Bairong.
Affiliation
  • Li J; Department of Urology, West China Hospital, Sichuan University, Chengdu, China.
  • Fan X; Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
  • Tang T; Department of Urology, West China Hospital, Sichuan University, Chengdu, China.
  • Wu E; Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
  • Wang D; Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
  • Zong H; Department of Computer Science and Information Technologies, Elviña Campus, University of A Coruña, A Coruña, Spain.
  • Zhou X; Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
  • Li Y; Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China.
  • Zhang C; Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
  • Zhang Y; Department of Urology, West China Hospital, Sichuan University, Chengdu, China.
  • Wu R; Department of Urology, West China Hospital, Sichuan University, Chengdu, China.
  • Wu C; Department of Urology, West China Hospital, Sichuan University, Chengdu, China.
  • Yang L; Department of Urology, West China Hospital, Sichuan University, Chengdu, China.
  • Shen B; Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Heliyon ; 9(10): e20337, 2023 Oct.
Article in En | MEDLINE | ID: mdl-37767466
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Heliyon Year: 2023 Document type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Heliyon Year: 2023 Document type: Article Affiliation country: China