Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
562-02-011 ISMRM Abstract

Artificial Intelligence Detection of Breast Cancer on Abbreviated MRI

Accepted
Zahra Aghdam 1,2, Xin Wang2, Luuk Balkenende2, Jonas Teuwen3,4,5, Koen Eppenhof6, Kevin Groot Lipman4, Ritse M Mann7,8,9,10
1Department of Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands, Netherlands
2Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, Netherlands, Netherlands
3AI for Oncology, the Netherlands Cancer Institute, Amsterdam, Netherlands
4the Netherlands Cancer Institute, Amsterdam, Netherlands
5University of Amsterdam, Amsterdam, Netherlands
6Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, Netherlands
7medical imaging, Radboud University Medical Center, Nijmegen, Netherlands
8Radiology, the Netherlands Cancer Institute, Amsterdam, Netherlands
9Department for Medical Imaging, Radboud University Medical Center, Nijmegen, Netherlands
10Department of Radiology, the Netherlands Cancer Institute, Amsterdam, Netherlands
Presenting Author: Zahra Aghdam

Synopsis

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References

1. Breast MRI: State of the Art, Mann et al, Radiology 2019 292:3, 520-536
2. RSNA. “AI for Breast MRI Interpretation: Commentary.” Radiology: Artificial Intelligence. 2025. doi: 10.1148/ryai.250520 [doi]
3. Ding, Yukun & Liu, Jinglan & Xiong, Jinjun & Shi, Yiyu. (2020). Revisiting the Evaluation of Uncertainty Estimation and Its Application to Explore Model Complexity-Uncertainty Trade-Off. 22-31. 10.1109/CVPRW50498.2020.00010. [doi]
4. Eppenhof KAJ, et al. Multi-site validation of a novel AI system for cancer detection in breast MRI. Presented at European Congress of Radiology, Feb 27, 2025. Available at: https://connect.myesr.org/course/artificial-intelligence-in-breast-imaging-2/

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