Latest AI and machine learning research in neurosurgery for healthcare professionals.
BACKGROUND: Cerebral aneurysms pose a significant risk to patient safety, particularly when ruptured...
BACKGROUND: Artificial Intelligence (AI) has emerged as a transformative tool in medicine, particula...
BACKGROUND: Pineal region tumors (PRTs) are rare but deep-seated brain tumors, and complete surgical...
BACKGROUND: Machine learning (ML) may be superior to traditional methods for clinical outcome predic...
Vestibular schwannoma (VS) is the most prevalent intracranial schwannoma. Surgery is one of the opti...
: Lumbar spine surgery has undergone significant technological transformation in recent years, drive...
Endovascular Aneurysm Repair (EVAR) is a minimally invasive procedure crucial for treating abdominal...
BackgroundComputed tomography (CT) is widely used in clinical diagnosis of lung diseases. The automa...
Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by motor and non-motor d...
Purpose To evaluate a sham-artificial intelligence (AI) model acting as a placebo control for a stan...
BACKGROUND: The advancement of artificial intelligence (AI) has led to its application in various fi...
BACKGROUND: The relentless integration of Artificial Intelligence (AI) into neurosurgery necessitate...
BACKGROUND: Neurosurgery demands high precision, and robotic-assisted systems are increasingly emplo...
BACKGROUND: The efficacy of laminectomy procedures is contingent on the method of resection. The obj...
PURPOSE: This study proposes a novel deep learning-based approach for aneurysm wall characteristics,...
Intracranial aneurysms, with an annual incidence of 2%-3%, reflect a rare disease associated with si...
Closed-loop electricalstimulation of brain structures is one of the most promising techniques to sup...
Artificial intelligence (AI) is increasingly significant in neurosurgery, enhancing differential dia...
The aim of this study was to develop a machine-learning prediction model for AKI after craniotomy an...
PURPOSE: Recent artificial intelligence algorithms aided intraoperative decision-making via stimulat...
We present an unsupervised deep learning method to perform flow denoising and super-resolution witho...