RSNA launches a global AI challenge to develop models for detecting and localizing intracranial aneurysms in CT and MRI scans.
Key Details
- 1RSNA launches 2025 Intracranial Aneurysm Detection AI Challenge in collaboration with major neuroradiology societies.
- 2AI models will target identifying aneurysms in 13 anatomical locations using CT angiography, MR angiography, and MRI sequences.
- 3The dataset includes imaging from 18 sites across five continents, annotated by over 60 expert radiologists.
- 4A subset includes 3D segmentations for specific vascular locations in MRI.
- 5Challenge is open globally via Kaggle, with $50,000 in prizes for top nine competitors.
- 6Winners will be announced at RSNA’s annual meeting; top-performing models released under open licenses.
Why It Matters
This challenge is significant as it will drive innovation in AI solutions for neurovascular disease detection, leveraging diverse, expertly annotated datasets. The open licensing of top models will help propel further research, validation, and potential clinical adoption in radiology.

Source
AuntMinnie
Related News

•AuntMinnie
AI’s Path in Radiology Hinges on Tech, Policy, and Human Insight
SIIM-CAIMI keynote highlights that AI's future in radiology depends on synchronized advances in technology, regulation, finance, and culture.

•AuntMinnie
SIIM-CAIMI Leaders Discuss Key Trends in Imaging AI Deployment
SIIM-CAIMI program chairs highlight AI's transition from algorithm evaluation to real-world implementation in medical imaging.

•AuntMinnie
AI Triage Tool Speeds Up ICH Head CT Turnaround in ED
AI-based triage for intracranial hemorrhage on head CT reduced emergency department report turnaround by 13 minutes.