AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study

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Publication Details

Journal
The Lancet Digital Health
Published
2025-08-01
DOI
https://doi.org/10.1016/j.landig.2025.100882
Citations
4
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
9.92

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article

AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study

Jessie Gommers, Jim Peters, Elizabeth Loehrer, Jonas Teuwen et al.
4 citations
The Lancet Digital Health
AI in cancer detection
9.92
article

AI as an independent second reader in detection of clinically relevant breast cancers within a population-based screening programme in the Netherlands: a retrospective cohort study

Jessie Gommers, Jim Peters, Elizabeth Loehrer, Jonas Teuwen, Linda de Munck, Mireille J. M. Broeders, Ritse M. Mann, Ioannis Sechopoulos, Suzanne L. van Winkel, Natasja Janssen, Nico Karssemeijer, J.G. Kroes
article en
4 citations

Abstract

No abstract available for this paper.
The Lancet Digital HealthVol. 7(8)
Radboud University Nijmegen (NL), Radboud University Medical Center (NL), Dutch Expert Centre for Screening (NL), Netherlands Cancer Institute-Antoni van Leeuwenhoek Hospital (NL), Netherlands Comprehensive Cancer Organisation (NL)
European Regional Development Fund
Good health and well-being
Openalex Percentile: Top 2%
AI in cancer detection
9.92
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