Advancements in Neurointervention: Current Techniques and Future Directions
Nicholas Passias, Neil Wormald
- Year
- 2024
- Citations
- 3
- Access
- Open access
Abstract
Neurointervention has experienced significant advancements over recent decades, transforming treatment approaches for cerebrovascular diseases, spinal pathologies, and neuro-oncological conditions. This review explores key innovations in neurointerventional techniques, emphasizing endovascular procedures, image-guided interventions, and neuro-robotics. Technological progress, particularly in artificial intelligence (AI)-driven imaging, minimally invasive methods, and bioengineering applications, has improved diagnostic accuracy and clinical outcomes. Specifically, advancements in ischemic stroke management, aneurysm repair, and arteriovenous malformation (AVM) treatments have demonstrated improved patient outcomes, minimizing invasiveness and recovery time. Future directions include the integration of nanotechnology, machine learning, and augmented reality (AR) to enhance procedural precision and long-term prognoses. Ethical considerations, including those surrounding AI usage, and the need for standardized protocols present challenges within neurointervention, necessitating continued research and regulatory oversight. This paper provides a comprehensive understanding of contemporary neurointerventional techniques, highlighting emerging innovations poised to improve clinical practice and outcomes in neurointervention.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991