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
GE HealthCare’s True Definition DL Receives FDA Clearance for CT Imaging
GE HealthCare's True Definition DL, a deep learning-based CT image reconstruction tool, has received FDA 510(k) clearance.
•Radiology Business
Lucida Medical Raises $11M for AI-Based Prostate MRI Diagnosis Expansion
Lucida Medical, specializing in AI-assisted prostate cancer diagnosis via MRI, raises $11.4M to drive US FDA approval and platform expansion.
•AuntMinnie
AI Increases Lung Nodule Detection on LDCT but Not Speed
AI assistance raised detection rates of actionable lung nodules on LDCT but did not reduce interpretation time for radiologists.