# A deep‐learning model using automated performance metrics and clinical features to predict urinary continence recovery after robot‐assisted radical prostatectomy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-deep-learning-model-using-automated-performance-metrics-and-clinical-features/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Andrew J. Hung,Jian Chen,Saum Ghodoussipour,Paul Oh,Zequn Liu,Jessica H. Nguyen,Sanjay Purushotham,Inderbir S. Gill,Yan Liu |
| Citations | 150 |
| DOI | 10.1111/bju.14735 |
| Fields | Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://www.ncbi.nlm.nih.gov/pmc/articles/6706286 |
| OpenAlex ID | https://openalex.org/W2916629625 |
| PMID | 30811828 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Andrew J. Hung](https://scholariq.org/researchers/andrew-j-hung/)
- [Jessica H. Nguyen](https://scholariq.org/researchers/jessica-h-nguyen/)
- [Jian Chen](https://scholariq.org/researchers/jian-chen/)

## Paper primary topic

- [Prostate Cancer Diagnosis and Treatment](https://scholariq.org/topics/prostate-cancer-diagnosis-and-treatment/)

## Paper topics

- [Prostate Cancer Diagnosis and Treatment](https://scholariq.org/topics/prostate-cancer-diagnosis-and-treatment/)
- [Urinary Bladder and Prostate Research](https://scholariq.org/topics/urinary-bladder-and-prostate-research/)
- [Bladder and Urothelial Cancer Treatments](https://scholariq.org/topics/bladder-and-urothelial-cancer-treatments/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.