The European Institute for Biomedical Imaging Research (EIBIR) published its strategic research agenda for biomedical imaging.
The agenda identifies current challenges and needs in healthcare, illustrating how biomedical imaging and derived data can help to address these challenges.
The new strategy was developed in collaboration with EIBIR's shareholders identifying and describing five main challenges facing biomedical imaging today, and it addresses in detail how these challenges can be overcome.
The agenda highlights personalized medicine, big data, artificial intelligence, and biomedical imaging's role as a forerunner in the digital transformation of healthcare.
Read more about the strategy for biomedical imaging on the EIBIR's website.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
