New dataset launched for AI-driven intracranial aneurysm detection · 1 source tracked

By PulseAugur Editorial · [1 sources] · 2026-10-02 04:00

The Radiological Society of North America (RSNA), in collaboration with several other medical societies, has curated the RSNA Intracranial Aneurysm (RSNA-ICA) Dataset. This large, publicly available dataset, featuring expert annotations, comprises 7202 imaging series from 4278 patients across 21 institutions globally. It includes computed tomography angiography, magnetic resonance angiography, and magnetic resonance imaging data, with a focus on detecting and localizing intracranial aneurysms. The dataset was utilized for the 2025 RSNA Intracranial Aneurysm Detection Challenge and is available for non-commercial research to advance AI-based aneurysm detection. AI

IMPACT Provides a large, diverse dataset to advance AI-driven detection of intracranial aneurysms.

RANK_REASON The item is an arXiv preprint detailing a new dataset for AI research. [lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Maria Correia de Verdier, Rachit Saluja, Jason Sho, Maryam Vabarizad, Rennie Yung-Chieh Chen, Uyen N. T. Nguyen, Mona Alrehaili, Layal Aweidah, Deniz Bulja, Wesley C. Chan, Hernan Chaves, Madhavi Duvvuri, Huseyin Ekin Ergin, Undrakh-Erdene Erdenebold, Ek… · 2026-10-02 04:00

The RSNA Intracranial Aneurysm (RSNA-ICA) Dataset

arXiv:2610.01135v1 Announce Type: new Abstract: Intracranial aneurysm rupture is associated with substantial morbidity and mortality, yet aneurysm detection remains challenging, particularly for small lesions and on routine non-angiographic imaging examinations. To support the de…