# Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/real-time-automatic-detection-system-increases-colonoscopic-polyp-and-adenoma/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pu Wang,Tyler M. Berzin,Jeremy R. Glissen Brown,Shishira Bharadwaj,Aymeric Becq,Xun Xiao,Peixi Liu,Liangping Li,Yan Song,Di Zhang,Yi Li,Guangre Xu,Mengtian Tu,Xiaogang Liu |
| Citations | 836 |
| DOI | 10.1136/gutjnl-2018-317500 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://gut.bmj.com/content/gutjnl/68/10/1813.full.pdf |
| OpenAlex ID | https://openalex.org/W2916105049 |
| PMID | 30814121 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Tyler M. Berzin](https://scholariq.org/researchers/tyler-m-berzin/)
- [Yi Li](https://scholariq.org/researchers/yi-li/)

## Paper journal

- [Gut](https://scholariq.org/journals/gut/)

## Paper primary topic

- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)

## Paper topics

- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [COVID-19 diagnosis using AI](https://scholariq.org/topics/covid-19-diagnosis-using-ai/)

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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.