# Artificial intelligence improves adenoma detection rate during colonoscopy

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-improves-adenoma-detection-rate-during-colonoscopy/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ali Jafer,Cameron Schauer,Michael Chieng,Michael T.M. Wang,Michelle Neave,Sarah Watson,Marius van Rijnsoever,Russell Walmsley |
| Citations | 15 |
| DOI | 10.26635/6965.5807 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | bronze |
| OA URL | https://nzmj.org.nz/media/pages/journal/vol-135-no-1561/artificial-intelligence-improves-adenoma-detection-rate-during-colonoscopy/cb92ccdc3e-1696472947/artificial-intelligence-improves-adenoma-detection-rate-during-colonoscopy.pdf |
| OpenAlex ID | https://openalex.org/W4294355165 |
| PMID | 36049787 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Marius van Rijnsoever](https://scholariq.org/researchers/marius-van-rijnsoever/)

## Paper journal

- [New Zealand Medical Journal](https://scholariq.org/journals/new-zealand-medical-journal/)

## 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.