Učitavanje...
Deep learning on automated performance metrics and clinical features to predict urinary continence recovery after robot-assisted radical prostatectomy
OBJECTIVES: To predict urinary continence recovery after robot-assisted radical prostatectomy (RARP) utilizing a deep learning (DL) model, which was then used to evaluate surgeon’s historical patient outcomes. SUBJECTS AND METHODS: Robotic surgical automated performance metrics (APMs) during RARPs,...
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| Izdano u: | BJU Int |
|---|---|
| Glavni autori: | , , , , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2019
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6706286/ https://ncbi.nlm.nih.gov/pubmed/30811828 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/bju.14735 |
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