Machine learning models for predicting vasospasm following ruptured intracranial aneurysms: a systematic review and meta-analysis
ML models, particularly deep learning and ensemble methods, demonstrate promising accuracy in predicting vasospasm after aSAH. These tools may enable earlier, personalized interventions; however, methodological heterogeneity, limited external validation, and lack of prospective trials currently hinder clinical adoption.
Authors
- M. Palermo (ORCID: https://orcid.org/0000-0002-0135-8181)
- Carmelo Lucio Sturiale (ORCID: https://orcid.org/0000-0002-4080-2492)
- Alessandro Olivi (ORCID: https://orcid.org/0000-0002-4489-7564)
- Sonia D’Arrigo (ORCID: https://orcid.org/0000-0001-6740-3195)
Institutions
- Università Cattolica del Sacro Cuore (IT)
- Agostino Gemelli University Polyclinic (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
Publication Details
- Journal
- Acta Neurochirurgica
- Published
- 2025-12-03
- DOI
- https://doi.org/10.1007/s00701-025-06725-y
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Università Cattolica del Sacro Cuore