Research Presentation Sessions: Artificial Intelligence & Machine Learning & Imaging Informatics
Impact of AI on mammography screening
Lectures
1
Real-world breast cancer screening performance with digital breast tomosynthesis before and after implementation of an artificial intelligence detection system - Kathy Jean Schilling, Boca Raton / US
07:00
2
AI in mammography screening: retrospective results from two different CE-marked AI systems - Solveig Hofvind, Oslo / NO
07:00
3
AI-decision support for double reading in breast cancer screening with digital mammography: a pseudo-prospective evaluation - Anne-Kathrin Brehl, Nijmegen / NL
07:00
4
Role of automation bias in artificial intelligence for mammography - Thomas Markus Dratsch, Cologne / DE
07:00
5
Comparing level of automation and effects on outcome metrics of three innovative ways to implement AI in breast cancer screening - Jonathan Nash, Rowlands Castle / UK
07:00
6
Ensuring consistent performance in changing clinical deployments: automatic recalibration of AI for breast cancer screening using real-time monitoring and unsupervised prediction alignment - Melanie Bernhardt, London / UK
07:00
7
Workload reduction of digital breast tomosynthesis screening using artificial intelligence and synthetic mammography - Victor Dahlblom, Malmö / SE
07:00
8
Artificial intelligence (AI) and mammographic extremely dense breasts in BreastScreen Norway: could AI-based screening be an alternative to screening with MRI? - Henrik Wethe Koch, Stavanger / NO
07:00
9
Exploring the relationships between an AI algorithm and human readers in a national breast screening external quality assurance scheme - Yan Chen, Nottingham / UK
07:00
10
Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classification - Friederike Jungmann, Munich / DE
07:00
11
Sample size requirements for reliable assessment of subgroup performance and generalisability of AI algorithms for BI-RADS density prediction - Hari Trivedi, Atlanta / US
07:00
