Real-world breast cancer screening performance with digital breast tomosynthesis before and after implementation of an artificial intelligence detection system
07:00Kathy Jean Schilling, Boca Raton / US
2
AI in mammography screening: retrospective results from two different CE-marked AI systems
07:00Solveig Hofvind, Oslo / NO
3
AI-decision support for double reading in breast cancer screening with digital mammography: a pseudo-prospective evaluation
07:00Anne-Kathrin Brehl, Nijmegen / NL
4
Role of automation bias in artificial intelligence for mammography
07:00Thomas Markus Dratsch, Cologne / DE
5
Comparing level of automation and effects on outcome metrics of three innovative ways to implement AI in breast cancer screening
07:00Jonathan Nash, Rowlands Castle / UK
6
Ensuring consistent performance in changing clinical deployments: automatic recalibration of AI for breast cancer screening using real-time monitoring and unsupervised prediction alignment
07:00Melanie Bernhardt, London / UK
7
Workload reduction of digital breast tomosynthesis screening using artificial intelligence and synthetic mammography
07:00Victor Dahlblom, Malmö / SE
8
Artificial intelligence (AI) and mammographic extremely dense breasts in BreastScreen Norway: could AI-based screening be an alternative to screening with MRI?
07:00Henrik Wethe Koch, Stavanger / NO
9
Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classification
07:00Friederike Jungmann, Munich / DE
10
Sample size requirements for reliable assessment of subgroup performance and generalisability of AI algorithms for BI-RADS density prediction
07:00Hari Trivedi, Atlanta / US
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