# Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/can-we-reduce-the-workload-of-mammographic-screening-by-automatic-identification/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Alejandro Rodríguez‐Ruiz,Kristina Lång,Albert Gubern‐Mérida,Jonas Teuwen,Mireille J. M. Broeders,Gisella Gennaro,Paola Clauser,Thomas H. Helbich,Margarita Chevalier,Thomas Mertelmeier,Matthew Wallis,Ingvar Andersson,Sophia Zackrisson,Ioannis Sechopoulos,Ritse M. Mann |
| Citations | 215 |
| DOI | 10.1007/s00330-019-06186-9 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00330-019-06186-9.pdf |
| OpenAlex ID | https://openalex.org/W2936218643 |
| PMID | 30993432 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Kristina Lång](https://scholariq.org/researchers/kristina-lang/)

## Paper journal

- [European Radiology](https://scholariq.org/journals/european-radiology/)

## Paper primary topic

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)

## Paper topics

- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Digital Radiography and Breast Imaging](https://scholariq.org/topics/digital-radiography-and-breast-imaging/)
- [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.