Latest AI and machine learning research in neurosurgery for healthcare professionals.
Cerebral aneurysms are complex vascular lesions whose rupture can result in subarachnoid hemorrhage (SAH), a condition associated with substantial morbidity and mortality. Although current clinical risk assessment relies primarily on morphological characteristics such as aneurysm size and location, these factors alone are often insufficient for individualized rupture risk prediction. Advances in a...
Robinson et al. challenge the reliance on neurosurgery for glioma diagnosis by integrating multi-omic profiling of plasma extracellular vesicles with machine learning. Across independent cohorts, these biomarkers discriminate between glioma and controls and enable longitudinal tracking of tumor burden, establishing a clinically relevant foundation for minimally invasive diagnosis, monitoring, and ...
Accurate outer-to-outer wall aortic segmentation is essential for abdominal aortic aneurysm (AAA) assessment and endovascular aneurysm repair (EVAR) p...
Technological advancements show great potential in transforming and advancing global surgery. Compared to general medicine, technology in neurosurgery...
Axial dissections of the thoracic artery are common causes of death in people diagnosed with aortic dissection; however, decisions to intervene on asc...
Uniportal full-endoscopic spine surgery (FESS) has expanded over three decades from percutaneous discectomy to include multilevel decompression, endos...
Cerebral aneurysm rupture is strongly associated with localized hemodynamic abnormalities, particularly in aneurysms containing surface blebs that rep...
Postoperative delirium is associated with both gut microbiota alterations and Tau phosphorylation; however, how these factors interact and jointly con...
Robot-assisted biopsy techniques achieve precise minimally invasive sampling of deep-seated and anatomically complex lesions through stable robotic ma...
Accurate morphometric assessment of ascending thoracic aortic aneurysms (ATAA) from computed tomography angiography (CTA) is essential for individuali...
BACKGROUND AND AIMS: Artificial intelligence (AI) is increasingly being integrated into neurosurgical practice, offering capabilities in diagnostic im...
PURPOSE: Accurate 3D aortic segmentation in CT images is vital for cardiovascular disease diagnosis, surgical planning, and intraoperative navigation....
INTRODUCTION: Central venous cannulation is essential for life-saving interventions including resuscitation of critically ill patients, hemodynamic mo...
PURPOSE: The contour neurovascular system (CNS) is increasingly used for endovascular treatment of intracranial aneurysms, but outcome and post-treatm...
BACKGROUND: Ruptured abdominal aortic aneurysm (rAAA) remains associated with substantial in-hospital mortality. Although machine-learning methods can...
BACKGROUND: Percutaneous transforaminal endoscopic discectomy (PTED) is a common treatment for lumbar disc herniation (LDH), but postoperative recover...
RATIONALE AND OBJECTIVES: Accurate and efficient three-dimensional visualization of cerebral vasculature is essential for clinical evaluation; however...
Endovascular coiling is a minimally invasive therapeutic option for intracranial aneurysm (IA). This technique involves occluding the aneurysmal sac w...
Patients increasingly consult large language models (LLMs) before specialist review and may do so in widely differing emotional registers. We examined...