OVGU Nuclear Medicine Clinic - AI Expertise

Showcasing our innovation and research in Artificial Intelligence for Nuclear Medicine.

Part of the University Clinic for Radiology and Nuclear Medicine and a member of the NUM-RACCON network.

Our Projects

Our Grants

SIKIT: Strengthening Autonomy in the Implementation of AI Technologies in Medicine

An interdisciplinary research project aimed at the systematic development, evaluation, and implementation of clinical AI applications in the context of patient-related care scenarios. The focus is on testing trustworthy, data protection-compliant, and comprehensible AI models to support diagnostic, documentary, and therapeutic processes. The AI applications developed are tested in several clinical pilot projects to systematically evaluate their practical relevance, integration capability, and transferability to other disciplines.

Learn more about the SIKIT project

Funding Program: "Sachsen-Anhalt WISSENSCHAFT" (co-financed by the EU's EFRE program)
Total Funding: €1,290,924.68
Duration: 42 months (July 2024 - December 2027)
Lead: Prof. Michael Kreißl, Clinic for Radiology and Nuclear Medicine

Featured Publication

Our work on “[18F]AlF-PSMA-11 PET/CT for response assessment in metastatic prostate cancer patients undergoing [177Lu]Lu-PSMA-617 radioligand therapy](https://www.mdpi.com/2072-6694/17/14/2285)” has been published in the journal Cancers. This highlights our commitment to advancing the field of nuclear medicine through cutting-edge research.

Read the full article here

Certificates & Recognition

Certificate of Excellence in Theranostics

Our clinic has been recognized for its excellence in theranostics, demonstrating our high standards in integrated diagnostics and therapy.

View the Certificate of Excellence

Close Cooperation with STIMULATE

Our clinic maintains a close and active cooperation with the STIMULATE research campus in Magdeburg. STIMULATE (Solution Centre for Image Guided Local Therapies) is a leading public-private partnership that brings together interdisciplinary teams from clinical practice, industry, and science to research and develop highly innovative methods for image-guided, minimally invasive medicine. Their work focuses on optimizing the treatment of cancer, as well as cardiological and neurological diseases, to create patient-friendly diagnostic and therapeutic procedures.

For instructions on how to contribute to this page, please see the HOW_TO.md file.