# New artificial intelligence system: first validation study versus experienced endoscopists for colorectal polyp detection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/new-artificial-intelligence-system-first-validation-study-versus-experienced/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Cesare Hassan,Michael B. Wallace,Prateek Sharma,Roberta Maselli,Vincenzo Craviotto,Marco Spadaccini,Alessandro Repici |
| Citations | 180 |
| DOI | 10.1136/gutjnl-2019-319914 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2981035911 |
| PMID | 31615835 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Marco Spadaccini](https://scholariq.org/researchers/marco-spadaccini/)

## 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/)
- [Gastric Cancer Management and Outcomes](https://scholariq.org/topics/gastric-cancer-management-and-outcomes/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

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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.