# Current status of artificial intelligence applications in urology and their potential to influence clinical practice

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/current-status-of-artificial-intelligence-applications-in-urology-and-their/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jian Chen,Daphne Remulla,Jessica H. Nguyen,Aastha Dua,Yan Liu,Prokar Dasgupta,Andrew J. Hung |
| Citations | 202 |
| DOI | 10.1111/bju.14852 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2951078712 |
| PMID | 31219658 |
| Type | article |
| Year | 2019 |

## Paper authors

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

## Paper primary topic

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)

## Paper topics

- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Prostate Cancer Diagnosis and Treatment](https://scholariq.org/topics/prostate-cancer-diagnosis-and-treatment/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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