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

•Radiology Business
Aidoc Receives FDA Breakthrough Status for Multi-Condition CT AI Triage
Aidoc has received FDA Breakthrough Device status for its AI solution that flags multiple critical conditions in CT scans.

•Radiology Business
AI Triage Cuts CT Report Turnaround for Pulmonary Embolism—Daytime Only
FDA-backed study finds AI triage tools reduce radiology CT report turnaround times for pulmonary embolism during peak hours.

•Radiology Business
AI Tool Detects Elusive Epilepsy Lesions Missed by Radiologists
Researchers developed an AI tool that identifies focal cortical dysplasia on imaging, aiding diagnosis and surgical planning for epilepsy.