RSNA Intracranial Aneurysm Detection AI Challenge (2025)
In collaboration with the American Society of Neuroradiology, the Society of Neurointerventional Surgery, and the European Society of Neuroradiology, the 2025 Intracranial Aneurysm Detection AI Challenge invites researchers to develop machine learning models to detect and localize intracranial aneurysms across a variety of medical imaging modalities, including CT angiography, MR angiography and MRI.
The 2025 RSNA Intracranial Aneurysm Detection AI Challenge is supported by DEEPNOID.
Background
Intracranial aneurysms affect an estimated 3.2% of the global population according to studies cited by the U.S. National Library of Medicine. Alarmingly, up to 50% are first identified only after rupture—an event associated with high rates of morbidity and mortality.
Accurate and timely detection of aneurysms is therefore critical for guiding treatment and preventing rupture. When identified early, patients can undergo monitoring or intervention that significantly reduces the risk of adverse outcomes. AI tools that support radiologists in detecting these often-subtle lesions have the potential to transform patient care by improving diagnostic accuracy and efficiency.
Challenge participants were tasked with identifying aneurysms across 13 distinct anatomical locations within the intracranial circulation. The reference dataset—meticulously curated by the RSNA challenge planning task force—includes CT and MR studies from 18 sites across five continents, annotated by 60 expert radiologists for the presence and location of aneurysms.
Winning teams and entries
| Rank | Team Name |
|---|---|
| 1st Place | tomoon33 |
| 2nd Place | BraveCoWCoW |
| 3rd Place | BTYND |
| 4th Place | Harshit Sheoran |
| 5th Place | more CV challenge pls |
| 6th Place | Ian, Theo & Bartley |
| 7th Place | MIC-DKFZ |
| 8th Place | Konni |
| 9th Place | Vibes and Genius Trade-Off |
Two teams were selected for the 2025 Educational Merit Award: "Ian, Theo & Bartley" and "MIC-DKFZ." The Educational Merit Award is a distinction to recognize winners from among the top nine teams whose entries are deemed outstanding in clarity, completeness, organization and efficiency of its submitted code.
Results
Access the results on the Kaggle website.
Recognition for top performing teams
The top performing teams are recognized during RSNA 2025 (Nov. 30 – Dec. 4), held at McCormick Place in Chicago. The nine teams who submitted the highest-scoring algorithms share $50,000 in total prize money.
Acknowledgments
RSNA would like to thank all those who made this challenge possible.