# Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/artificial-intelligence-evaluation-of-122-969-mammography-examinations-from-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Marthe Larsen,Camilla F. Aglen,Christoph I. Lee,Solveig Roth Hoff,Håkon Lund-Hanssen,Kristina Lång,Jan F. Nygård,Giske Ursin,Solveig Hofvind |
| Citations | 118 |
| DOI | 10.1148/radiol.212381 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | green |
| OA URL | https://hdl.handle.net/10037/28725 |
| OpenAlex ID | https://openalex.org/W4220843417 |
| PMID | 35348377 |
| Type | article |
| Year | 2022 |

## Paper authors

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

## 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/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [Digital Radiography and Breast Imaging](https://scholariq.org/topics/digital-radiography-and-breast-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.