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,...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:BJU Int
Main Authors: Hung, Andrew J., Chen, Jian, Ghodoussipour, Saum, Oh, Paul J., Liu, Zequn, Nguyen, Jessica, Purushotham, Sanjay, Gill, Inderbir S., Liu, Yan
Formato: Artigo
Idioma:Inglês
Publicado em: 2019
Assuntos:
Article
Acesso em linha: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
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados