# Withdrawal time, CADe and adenoma detection: a prospective study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/withdrawal-time-cade-and-adenoma-detection-a-prospective-study/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Roupen Djinbachian,Mahsa Taghiakbari,Sara‐Ivana Calce,Victoire Michal,Érik Deslandres,Mickaël Bouin,Jeremy Liu Chen Kiow,Benoît Panzini,Simon Bouchard,Dane Christina Daoud,Daniel von Renteln |
| Citations | 5 |
| DOI | 10.1136/gutjnl-2025-335380 |
| Fields | Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4411800932 |
| PMID | 40588347 |
| Type | article |
| Year | 2025 |

## Paper authors

- [Dane Christina Daoud](https://scholariq.org/researchers/dane-christina-daoud/)

## Paper journal

- [Gut](https://scholariq.org/journals/gut/)

## Paper primary topic

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)

## Paper topics

- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Lung Cancer Diagnosis and Treatment](https://scholariq.org/topics/lung-cancer-diagnosis-and-treatment/)
- [Colorectal Cancer Screening and Detection](https://scholariq.org/topics/colorectal-cancer-screening-and-detection/)

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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.