Daniel Förnvik

Dr. Daniel Förnvik is an Associate Professor at the Medical Radiation Physics department of Lund University, affiliated with the Lund University Cancer Centre (LUCC). His research focuses on breast cancer imaging, particularly through digital breast tomosynthesis (DBT), mammography, and artificial intelligence applications in radiology. He actively contributes to clinical research projects and collaborates internationally on cancer detection and screening optimization.

• Key Research Areas: Breast cancer diagnostics, AI-driven imaging analysis, radiation physics, tumor growth modeling
• Projects: Malmö Breast Tomosynthesis Screening Trial, NeoDense study, AI integration in mammography

His recent work explores deep learning for chemotherapy response monitoring, abbreviated MRI integration with DBT, and breast density impacts on screening accuracy. Articles show expertise in overdiagnosis prevention, image quality assessment, and multi-omics approaches combining ctDNA analysis with radiomics.

As a Principal Investigator, he supervises doctoral students Johannes Olinder and Andreas Bjerkén in projects examining DBT implementation and AI applications in breast imaging. Though no explicit awards are listed, his 51+ publications and sustained 2010-2025 research output demonstrate significant contributions to medical radiation physics and oncology imaging.