Our program features a clinically focused, highly interactive scientific agenda delivered by an outstanding faculty of international and local experts. We are delighted to introduce our local faculty and are pleased to confirm the following keynote speakers:
Keynote Speakers
Prof Wendy DeMartini
Dr. Wendy DeMartini is an internationally recognized leader in breast imaging clinical care, research and education. She is a Professor in the Department of Radiology at Stanford University School of Medicine and serves as a Breast Imaging Radiologist at Canopy Healthcare Imaging. At Stanford she held leadership roles including Vice-Chair for Clinical Faculty Affairs and Division Chief of Breast Imaging. Dr. DeMartini has more than 150 original research abstracts and publications. Her research interests include breast imaging utilization and outcomes and machine learning applied to breast imaging for triage and risk prediction. She lectures nationally and internationally on a spectrum of topics. She is Co-Director of the American College of Radiology (ACR) Education Center Breast MRI Course and Chair of the ACR BI-RADS Breast MRI Subcommittee. She was elected as a Society of Breast Imaging (SBI) Fellow in 2009 and served as SBI President from 2017-2018. She has recently been designated as a Fellow in the ACR (FACR). She is also the past Editor-in-Chief of the Journal of Breast Imaging.
Stanford University School of Medicine,
Canopy Healthcare Imaging
Dr Karin Dembrower
Senior Consultant in breast radiology, MD, PhD. Karin Dembrower works as a breast radiologist at Capio S:t Görans Hospital and she is also the head physician at the breast imaging department. She started her PhD studies in October 2017 at Karolinska Institutet and defended her thesis in April 2022. She won the Jan Grandéns prize for “Best thesis within cancer research 2022” at Karolinska Institutet. The title of the thesis is “Deep Learning in Breast Cancer Screening”. After analyzing the results from the first ever prospective ScreenTrustCAD trial she implemented AI in clinical practice at the breast imaging department at Capio S:t Görans Hospital in Stockholm. As from June 2023 an AI algorithm replaced one reader in a double reading setting for breast cancer screening. One year after implementation, the recall rates and the false positives decreased and the cancer detection rates increased. For this project, she also received the Ramasy Santé Innivation award “for our people”. Karin is also teaching radiographers at Karolinska Institutet as well as residents from the Stockholm county area. In 2025 she received the AI-prize at Karolinska institutet for outstanding performance within the AI-field. Karin has an ongoing passion for breast diagnostics and research for eventual breast cancer patients.
Capio St. Göran's Hospital
Sweden
A/Prof Fredrik Strand
Fredrik Strand is a Swedish radiologist and associate professor at Karolinska Institutet, Stockholm. He is head of the research and education committee at the Swedish society of breast imaging. Fredrik is the principal investigator of two AI-based clinical trials: ScreenTrustCAD and ScreenTrustMRI. His research evolves around exploring AI on multimodal radiology images - for early detection, cancer characterization, treatment response and prognosis. Fredrik and his team curate high-quality datasets and radiologist annotations to develop new AI models for breast imaging, performing reader studies and external validations. He leads the Swedish multicenter VAI-B, Validation platform for AI in Breast imaging, which is a platform hosting images from various clinical centers linked to clinical outcomes with the mission to test external AI CAD models. Fredrik is engaged in two EU-funded projects, RadioVal and EUCAIM, as well as the EUCanScreen initiative where he is developing guidelines for safe implementation of AI in clinical practice. Fredrik's long-term aim is to explore the full power of AI on multi-modal radiology combined with human expertise to improve outcomes cancer patients.
Karolinska University Hospital
Sweden
