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With a unique database of images we are investigating the use of artificial intelligence in breast imaging. Progress in Artificial Intelligence – AI – is rapid in many medical fields. In breast imaging, AI has mainly been used to improve CAD – computer assisted detection. Traditional CAD indicates suspicious areas on the mammogram, but is ineffective in screening as excessive marks distract reader

https://www.luci.lu.se/en/artificial-intelligence-breast-imaging - 2026-10-25

My name is Ann-Sofi Sjöqvist, and I am a registered radiographer, MSc and doctoral student. I work in Malmö at the Department of Medical Imaging and Physiology Skåne university Hospital and have been working with MRI since 2004. Between 2007 and 2011 I worked at Hvidovre Hospital in Denmark at the DRCMR department and there is where my research interest awoke. In Denmark I enrolled for a master pr

https://www.luci.lu.se/en/about-us/experiences-women-inherited-risk-breast-cancer-undergoing-yearly-surveillance-mri-breast-sweden - 2026-10-25

Women with high breast density have an increased risk of breast cancer. At the same time is mammography less effective in finding an existing cancer in these dense breasts. Mammography creates a 2D image of a 3D structure which has the potential to result in superimposing tissue, hiding lesions of interest. Tomosynthesis is an upcoming method for 3D screening with the potential of improving the ef

https://www.luci.lu.se/en/individualized-breast-cancer-screening-tomosynthesis-depending-breast-density - 2026-10-25

Increased breast density is an established strong risk factor for breast cancer. However, its prognostic potential is elusive. Some studies have reported worse outcome for women with dense breasts, while most have not found an association. Mammographic tumour appearances are related to tumour characteristics. In my first project we saw that spiculated tumour appearance is associated with favourabl

https://www.luci.lu.se/en/does-mammographic-density-and-mammographic-tumour-appearance-impact-survival-breast-cancer - 2026-10-25

My PhD project is a result of an international collaboration between Lund University and Siemens Healthineers. The focus with the project is investigating the possible benefits of synthetic mammography (SM) as supplemental imaging technique to digital breast tomosynthesis (DBT) in a screening setting. The goal of using SM is to add additional information to the radiologist and help improve decisio

https://www.luci.lu.se/en/breast-mechanical-imaging/possible-benefits-synthetic-mammography - 2026-10-25

We investigate the possibilities to use artificial intelligence (AI) to improve breast cancer screening with either standard digital mammography (DM) or digital breast tomosynthesis (DBT), which can be seen as a kind of 3D mammography. Today DM is used for breast cancer screening. In order to detect as many cancers as possible, each image is read by two specialised breast radiologists. DBT can fin

https://www.luci.lu.se/en/artificial-intelligence-breast-imaging/can-breast-cancer-screening-be-improved-artificial-intelligence - 2026-10-25

Project description: DBTMI is motivated by a challenge of underdiagnosis and false positives (FPs) in breast cancer healthcare. Mammography screening reduces mortality by early cancer detection. It is limited by FPs and unnecessary biopsies, with related complications, anxiety, and burden on the healthcare system. MI maps local pressure on the breast compressed during x-ray exam. Increased pressur

https://www.luci.lu.se/en/simultaneous-digital-breast-tomosynthesis-dbt-and-mechanical-imaging-mi-dbtmi - 2026-10-25

VCTs are used as a rapid and cost-effective alternative to conventional clinical trials Project description: Virtual Clinical Trials (VCTs) in medical imaging have been used to design, evaluate, and optimize imaging systems; to prototype clinical trials; and to assist with regulatory approval. VCTs are used as a rapid and cost-effective alternative to conventional clinical trials, allowing researc

https://www.luci.lu.se/en/virtual-clinical-trials-vcts-medical-imaging - 2026-10-25

Project description: Women with a high risk for breast cancer are defined as having (i) a life-time risk of a new primary breast cancer >20%, based on the prevalence of hereditary gene mutation (BRCA1, BRCA2 etc.), (ii) a positive family history, or (iii) previously diagnosed breast cancer before 50 years of age. High-risk patients have a higher incidence of breast cancer, with lesions appearing e

https://www.luci.lu.se/en/evaluation-high-risk-screening-breast-cancer-south-swedish-health-care-region - 2026-10-25

The purpose of this project is to develop and evaluate three non-invasive examination methods for the diagnosis of breast tumors, namely photoacoustics, diffuse reflectance spectroscopy and ultrasound-based tissue characteristics. It is our hope that the methods will be used for primary diagnostic of breast cancer, planning of breast cancer surgery but also to evaluate the given preoperative cance

https://www.luci.lu.se/en/spectroscopy-and-photoacoustics-noninvasive-diagnosis-breast-cancer-optical-methods - 2026-10-25

Technology development pushes us to find new ways of working, also in breast screening. Breast screening has been organized in the same manner since the 1980's, apart from the switch from analogue to digital mammography (DM) in late 1990's, which was a huge practical leap forward. In Sweden and many northern European countries double-reading is practiced, where two breast radiologists independentl

https://www.luci.lu.se/en/building-malmo-breast-imaging-database-evaluation-artificial-intelligence - 2026-10-25

This project aims to evaluate the use of mechanical imaging in breast cancer screening with mammography. Mechanical imaging can be used to measure the stiffness of the breast and identify local differences in stress at the surface of the breast. More malignant or aggressive tumours are more stiff compared to benign lesions, and that information has shown in previous studies that the technique coul

https://www.luci.lu.se/en/evaluation-mechanical-imaging-complement-breast-radiography - 2026-10-25

Mammography screening aims at reducing breast cancer mortality through early detection. Breast cancers that are missed or masked during the regular screening are often detected at later stages. Understanding the biology of different types of breast cancer in relation to the mammographic features will aid in early detection consequently improving the patient prognosis. To formulate radiological ris

https://www.luci.lu.se/en/breast-cancer-risk-prediction-combining-radiographic-features-and-transcriptomic-data-using-malmo - 2026-10-25

Overall Aim: The overarching aim of the dissertation project is to develop a person-centred decision aid to support women in making informed decisions about participation in future breast cancer screening in Sweden. Emerging innovations such as artificial intelligence, new diagnostic methods, and research on individualised cancer screening are expected to significantly impact future screening prac

https://www.luci.lu.se/en/person-centred-care-equity-cancer-screening/person-centred-decision-aid-next-generation-screening - 2026-10-25

NEST – Novelty, Excellence, Synergy, and Teams project, funded by DDLS, SciLifeLab and Wallenberg National Program for Data-Driven Life Science, and WASP, Wallenberg AI, Autonomous Systems and Software Program Breast cancer is a heterogeneous disease. Multimodality: mammography, histopathology, RNA sequencing, and health registries. Data acquired at different stages is analyzed separately, often m

https://www.luci.lu.se/en/aid4bc-multimodal-ai-based-precision-diagnostics-and-decision-support-breast-cancer-and-decision - 2026-10-25

The research project aims to investigate the psychosocial consequences of cancer screening to inform preventive strategies and recommendations for new screening programs, including lung and prostate cancer screening. Members of the research project groupAnetta Bolejko, Associate Professor, PhD, Registered Radiographer, Department of Diagnostic Radiology, Lund University, and Department of Medical

https://www.luci.lu.se/en/person-centred-care-equity-cancer-screening/person-reported-perspectives-future-cancer-screening - 2026-10-25

13 June 2027 12:00 to 16 June 2027 12:00 | Conference VITM 2027 in SWEDEN Lund University will host the International Summit on Virtual Imaging Trials in Medicine – VITM 2027, on 13–16 June 2027 at Ystad Saltsjöbad, SWEDENContact: predrag [dot] bakic [at] med [dot] lu [dot] se (predrag[dot]bakic[at]med[dot]lu[dot]se)Event website in progress: vitm2027.net About the eventLocation:Ystad Saltsjöbad,

https://www.luci.lu.se/en/calendar/vitm-2027-13-16-june - 2026-10-25

Evaluate a novel breast cancer screening strategy based on digital breast tomosynthesis (DBT), supported by artificial intelligence (AI) By integrating AI-supported triaging and detection with one-view DBT, the project aims to shift the focus of radiologists’ work toward women at higher risk of breast cancer. This approach has the potential to reduce examination time, improve patient comfort, and

https://www.luci.lu.se/en/mast-malmo-ai-based-breast-screening-tomosynthesis-prospective-screening-study - 2026-10-25

Are you wondering how your research findings can make a difference in society? Do you have questions about innovation, patents or are you thinking about starting a company? Do you have any concerns about working together with companies or other organisations? LU Innovation can provide support and guidance on these issues.   Click "Show content" to accept cookies and watch the video. Show content O

https://www.innovation.lu.se/en/our-services - 2026-10-25

Empower your startup journey with funding, mentorship, and a community of innovators Leap (previously called Leapfrogs) offers student entrepreneurs 40,000 SEK per person to dedicate their summer to developing their business idea  or startup. Join a vibrant community, access experienced mentors, and turn your business idea into reality.Leap overview What you get:40,000 SEK personal grant to focus

https://www.innovation.lu.se/en/leap - 2026-10-25