AI-assisted RECIST with OncoChange speeds up reading and improves CT follow-up consistency
A recent study led by Max de Grauw from the team of Alessa Hering at Radboud University Medical Center investigated the impact of AI support developed by Fraunhofer MEVIS on RECIST assessment in follow-up CT scans of 212 cancer patients. Across 23 readers from 11 institutions, the AI assistance reduced assessment time per patient by about one third compared with manual reading and increased inter-reader agreement of RECIST outcomes by 7.7%.
Artificial Intelligence in Medicine: New Approaches to Diagnosis and Research
Fraunhofer MEVIS is participating in the “AI x Open Lab – in Summer of AI,” a program in Bremen focused on artificial intelligence, taking place in summer 2026 alongside the international conference IJCAI-ECAI. With interactive stations for young adults and a public dialogue event, the institute demonstrates how AI opens up new possibilities in healthcare and invites experts from science and medicine, as well as interested members of the public, to discuss these developments together using concrete examples.
Position Paper “AI4Prevention”: The Potential of AI for Disease Prevention and Early Detection
As a research and technology transfer institute for digital medicine, Fraunhofer MEVIS—together with the Leibniz Institute for Prevention Research and Epidemiology (BIPS) and the U Bremen Research Alliance (UBRA)—calls for a change of course in its new position paper “AI4Prevention”: away from late, reactive treatment and toward early, precise prevention that spares patients unnecessary or unlikely-to-succeed interventions.
Fraunhofer Institute for Digital Medicine MEVIS