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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

Current (fluid)Computer scienceData scienceEngineering

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