# Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/diagnostic-capabilities-of-artificial-intelligence-as-an-additional-reader-in-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mustafa Ege Şeker,Yılmaz Onat Köylüoğlu,Ayşe Özaydın,Sibel Özkan Gürdal,Beyza Özçınar,Neslihan Cabıoğlu,Vahit Özmen,Erkin Arıbal |
| Citations | 29 |
| DOI | 10.1007/s00330-024-10661-3 |
| Fields | Computer Science,Medicine |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://link.springer.com/content/pdf/10.1007/s00330-024-10661-3.pdf |
| OpenAlex ID | https://openalex.org/W4392024218 |
| PMID | 38388718 |
| Type | article |
| Year | 2024 |

## Paper authors

- [Ayşe Özaydın](https://scholariq.org/researchers/ayse-ozayd-n/)

## 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/)
- [Artificial Intelligence in Healthcare and Education](https://scholariq.org/topics/artificial-intelligence-in-healthcare-and-education/)
- [Global Cancer Incidence and Screening](https://scholariq.org/topics/global-cancer-incidence-and-screening/)

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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.