# The impact of deep convolutional neural network‐based artificial intelligence on colonoscopy outcomes: A systematic review with meta‐analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-impact-of-deep-convolutional-neural-network-based-artificial-intelligence-on/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Aziz,Rawish Fatima,Charles Dong,Wade Lee‐Smith,Ali Nawras |
| Citations | 73 |
| DOI | 10.1111/jgh.15070 |
| Fields | Computer Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3015066373 |
| PMID | 32267558 |
| Type | review |
| Year | 2020 |

## Paper authors

- [Muhammad Aziz](https://scholariq.org/researchers/muhammad-aziz/)
- [Wade Lee‐Smith](https://scholariq.org/researchers/wade-lee-smith/)

## Paper journal

- [Journal of Gastroenterology and Hepatology](https://scholariq.org/journals/journal-of-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/)
- [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.