RSNA Intracranial Aneurysm Detection AI Challenge (2025)
In collaboration with the American Society of Neuroradiology (ASNR) and the Society of Neurointerventional Surgery (SNIS), the 2025 RSNA 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
- 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 will be 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.
Challenge timeline and recognition for top performing teams
The competition opens in early July and will close in October 2025. Winners will be announced in November and the top performing teams will be recognized during RSNA 2025 (Nov. 30 – Dec. 4) at McCormick Place in Chicago.