معرفی
Fredrik Strand is a researcher at the Karolinska Institute, specifically within the Department of Oncology-Pathology under the Faculty of Medicine. He leads the Computational Breast Imaging Group, focusing on leveraging Artificial Intelligence (AI) for early breast cancer detection, precision diagnostics, and image-guided minimally invasive procedures. His work spans cross-disciplinary collaboration with institutions like the Royal Institute of Technology (KTH) and involves major clinical trials such as ScreenTrustCAD and ScreenTrustMRI.
His research emphasizes AI in precision screening to address interval cancers and optimize radiologist workflows. Projects like VAI-B and RadioVal aim to validate AI algorithms and predict therapy response for neoadjuvant treatment. Recent publications highlight advancements in multi-modality imaging (mammography, MRI), GAN-based synthetic data generation, and trustworthy AI frameworks for clinical deployment. A consistent focus is on cost-effectiveness, equity in AI diagnostics, and human-AI interaction dynamics.
Key trends in his work include deep learning for tumor detection, reinforcement learning for screening policies, and multi-institutional validation of AI tools. His research is funded by organizations such as Medtechlabs, Vinnova, EU Horizon Europe, and the Swedish Breast Cancer Association.
