# Deep Learning Computer-aided Polyp Detection Reduces Adenoma Miss Rate: A United States Multi-center Randomized Tandem Colonoscopy Study (CADeT-CS Trial)

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-computer-aided-polyp-detection-reduces-adenoma-miss-rate-a-united/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Jeremy R. Glissen Brown,Nabil Mansour,Pu Wang,Maria Aguilera Chuchuca,Scott B. Minchenberg,Madhuri Chandnani,Lin Liu,Seth A. Gross,Neil Sengupta,Tyler M. Berzin |
| Citations | 219 |
| DOI | 10.1016/j.cgh.2021.09.009 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | http://www.cghjournal.org/article/S1542356521009733/pdf |
| OpenAlex ID | https://openalex.org/W3199688237 |
| PMID | 34530161 |
| Type | article |
| Year | 2021 |

## Paper authors

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

## Paper journal

- [Clinical Gastroenterology and Hepatology](https://scholariq.org/journals/clinical-gastroenterology-and-hepatology/)

## 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/)
- [Gastric Cancer Management and Outcomes](https://scholariq.org/topics/gastric-cancer-management-and-outcomes/)

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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.