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

Read the full publication Background: Artificial intelligence (AI) has shown promising results for cancer detection in mammographic screening. However, evidence

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Interval Cancer Detection Using a Neural Network and Breast Density in Women with Negative Screening Mammograms

https://pubs.rsna.org/doi/10.1148/radiol.210832  Background: Inclusion of mammographic breast density in breast cancer risk models improves accuracy, but accuracy remains modest. Interval cancer

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Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation

Link to the original article Background Use Transpara as a stand-alone reader for digital mammography (DM) or digital breast tomosynthesis

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Impact of artificial intelligence decision support using deep learning on breast cancer screening interpretation with single-view wide-angle digital breast tomosynthesis

Radiology 2021 Objectives: The high data volume of digital breast tomosynthesis (DBT) and the lack of agreement regarding its implementation

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Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

Suzanne L. van Winkel, Alejandro Rodríguez-Ruiz, Linda Appelman, Albert Gubern-Mérida, Nico Karssemeijer, Jonas Teuwen, Alexander J. T. Wanders, Ioannis Sechopoulos

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Using AI with single reading in screening: a simulation of the impact on tumour characteristics of detected cancers

Janssen N, van Winkel S, Rodríguez-Ruiz A, Karssemeijer N, Sechopoulos I, Mann R M ECR2021 Aim and Objective To compare

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