معرفی
Magnus Dustler serves as an Associate Professor and researcher at Lund University in Malmö, holding dual appointments in Medical Radiation Physics and Radiology Diagnostics. He is a Principal Investigator at the Lund University Cancer Centre (LUCC), leading interdisciplinary research at the intersection of medical physics, oncology, and artificial intelligence. His work directly contributes to UN Sustainable Development Goal 3 (Good Health and Well-being) through innovations in cancer diagnostics.
Dustler's research centers on revolutionizing breast cancer screening through digital breast tomosynthesis and AI-driven analysis of mammograms. He pioneers methods for predicting lymph node metastasis using deep learning on routine imaging, while critically examining ethical barriers in health technology adoption. His fingerprint reveals dominant expertise in Digital Breast Tomosynthesis (100%), Mammography (69%), Breast Cancer Screening (44%), and AI applications in lesion detection (36-39%). This dual focus on technical innovation and implementation ethics defines his scholarly identity.
His recent publications demonstrate a clear trajectory toward clinically deployable AI tools that address real-world challenges like calibration mismatches between training and target populations. Dustler's work uniquely bridges technical AI development with health technology assessment, emphasizing how ethical delays impact patient outcomes in breast cancer screening programs.
Dustler's recognition includes:
- 1st Prize Live Demonstrations Workshop (2025)
- 1st Prize Live Demonstrations Workshop (2023)
As an academic supervisor, Dustler mentors doctoral candidates Rejmer, C. (lymph node staging prediction models) and Bjerkén, A. (AI with mechanical imaging in mammography). His externally funded projects secure substantial resources from the Swedish Research Council, Bröstcancerförbundet, and Sjöbergstiftelsen. These include the six-year 'Breast Mechanical Imaging' initiative and the multi-institutional NILS study for non-invasive lymph node diagnostics, demonstrating sustained grant acquisition success.
Dustler actively shapes research discourse through the LUCC - Malmö Cancer Seminar series, organizing workshops on breast cancer risk prediction models and cancer epidemiology. His collaborative network spans 12 similar academic profiles internationally, with recent external collaborations visualized across a global map of research partnerships.
