Latest AI and machine learning research in neurosurgery for healthcare professionals.
Surgical training remains a crucial milestone in modern medicine, with procedures such as laminect...
With the advancement of Gaussian Splatting techniques, a growing number of datasets based on this ...
Synthetic data generation plays a crucial role in medical research by mitigating privacy concerns ...
BACKGROUND: Neuroendovascular procedures require careful and simultaneous attention to multiple devi...
This study developed a DWI-based radiomics nomogram to predict impaired health-related quality of li...
The Segment Anything Model 2 (SAM2) has gained significant attention as a foundational approach fo...
Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs m...
Differentially private stochastic gradient descent (DP-SGD) is the most widely used method for tra...
This work introduces a hybrid non-Euclidean optimization method which generalizes gradient norm cl...
BACKGROUND: Cerebral aneurysms pose a significant risk to patient safety, particularly when ruptured...
The Congress of Neurological Surgeons Self-Assessment for Neurological Surgeons (CNS-SANS) questio...
BACKGROUND: Artificial Intelligence (AI) has emerged as a transformative tool in medicine, particula...
Understanding the remarkable efficacy of Adam when training transformer-based language models has ...
BACKGROUND: Pineal region tumors (PRTs) are rare but deep-seated brain tumors, and complete surgical...
Large language models are designed to encode general purpose knowledge about the world from Intern...
This article presents a dataset used in the article "Kinematics of Abdominal Aortic Aneurysms", pu...
This article presents a dataset used in the article "Kinematics of Abdominal Aortic Aneurysms" [ar...
BACKGROUND: Machine learning (ML) may be superior to traditional methods for clinical outcome predic...
Intracranial aneurysms (IAs) are serious cerebrovascular lesions found in approximately 5\% of the...
As the size of large language models grows exponentially, GPU memory has become a bottleneck for a...
Multi-frame video enhancement tasks aim to improve the spatial and temporal resolution and quality...