# Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/lower-adenoma-miss-rate-of-computer-aided-detection-assisted-colonoscopy-vs/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Pu Wang,Peixi Liu,Jeremy R. Glissen Brown,Tyler M. Berzin,Guanyu Zhou,Shan Lei,Xiaogang Liu,Liangping Li,Xun Xiao |
| Citations | 223 |
| DOI | 10.1053/j.gastro.2020.06.023 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | http://www.gastrojournal.org/article/S0016508520348204/pdf |
| OpenAlex ID | https://openalex.org/W3036377470 |
| PMID | 32562721 |
| Type | article |
| Year | 2020 |

## Paper authors

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

## Paper journal

- [Gastroenterology](https://scholariq.org/journals/gastroenterology/)

## 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.