Latest AI and machine learning research in neurosurgery for healthcare professionals.
OBJECTIVE: Endovascular aortic repair (EVAR) requires lifelong imaging surveillance to monitor poten...
Patients increasingly consult large language models (LLMs) before specialist review, yet whether fro...
OBJECTIVE: To evaluate the operational performance of an FDA-cleared artificial intelligence (AI) al...
OBJECTIVE: The objective of this study was to apply an artificial intelligence (AI) pipeline for the...
Cerebral aneurysms are complex vascular lesions whose rupture can result in subarachnoid hemorrhage ...
Robinson et al. challenge the reliance on neurosurgery for glioma diagnosis by integrating multi-omi...
Accurate outer-to-outer wall aortic segmentation is essential for abdominal aortic aneurysm (AAA) as...
Technological advancements show great potential in transforming and advancing global surgery. Compar...
Axial dissections of the thoracic artery are common causes of death in people diagnosed with aortic ...
Uniportal full-endoscopic spine surgery (FESS) has expanded over three decades from percutaneous dis...
Cerebral aneurysm rupture is strongly associated with localized hemodynamic abnormalities, particula...
Postoperative delirium is associated with both gut microbiota alterations and Tau phosphorylation; h...
Robot-assisted biopsy techniques achieve precise minimally invasive sampling of deep-seated and anat...
Accurate morphometric assessment of ascending thoracic aortic aneurysms (ATAA) from computed tomogra...
BACKGROUND AND AIMS: Artificial intelligence (AI) is increasingly being integrated into neurosurgica...
PURPOSE: Accurate 3D aortic segmentation in CT images is vital for cardiovascular disease diagnosis,...
INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resusc...
PURPOSE: The contour neurovascular system (CNS) is increasingly used for endovascular treatment of i...