AI for Breast Cancer Risk Prediction
February 16, 2024 @ 09:00 – 09:30 CET
I will describe the shortcomings of current breast cancer screening programs which are based on mammography for everyone. I will discuss how we developed an approach based on artificial intelligence to analyze mammograms of supposedly healthy women. The system considers three aspects, long-term risk, mammographic masking and subtle cancer signs. We developed the method, analyzed the performance in retrospective data and performed a clinical study – ScreenTrustMRI. Given the same budget of additional MRI, the AI approach detected around four times more cancers than would have been expected from established methods based on simplistic estimates of mammographic density.
Fredrik Strand, Karolinska Institutet
Clinical Talks
Clinical Talks is an educational seminar series open to everyone. It is organized by the SciLifeLab Precision Medicine Capability, and invites a mixture of speakers that are experts with a clinical perspective on topics concerning rare diseases, cancer, microbiology and bioinformatics.
Health is individual and patients can benefit greatly from personalized treatments, tailored for their specific molecular disposition. This rapidly emerging field, known as Precision Medicine, relies on technology development and requires close collaboration between scientists and healthcare professionals. SciLifeLab aims to bring cutting-edge technologies, first-class expertise and data infrastructure to build the foundation of tomorrow’s Precision Medicine.
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