Latest AI and machine learning research in neurosurgery for healthcare professionals.
Objective: we propose a procedure for calibrating 4 parameters governing the mechanical boundary c...
Reinforcement learning (RL)-based fine-tuning has emerged as a powerful approach for aligning diff...
Background: With the increasing availability of healthcare data, predictive modeling finds many ap...
Data augmentation effectively addresses the imbalanced-small sample data (ISSD) problem in hypersp...
Leading vision-language models (VLMs) are trained on general Internet content, overlooking scienti...
This paper comprehensively evaluates several recently proposed optimizers for 4-bit training, reve...
Introduction: Computer vision (CV) has had a transformative impact in biomedical fields such as ra...
Natural Language Processing (NLP) and Voice Recognition agents are rapidly evolving healthcare by ...
Abdominal aortic aneurysm (AAA) is a life-threatening condition involving the permanent dilation o...
Federated learning (FL) is a popular paradigm for collaborative training which avoids direct data ...
BACKGROUND: The efficacy of laminectomy procedures is contingent on the method of resection. The obj...
BACKGROUND: Neurosurgery demands high precision, and robotic-assisted systems are increasingly emplo...
BACKGROUND: The relentless integration of Artificial Intelligence (AI) into neurosurgery necessitate...
Structured light (SL) 3D reconstruction captures the precise surface shape of objects, providing h...
Quantization for deep neural networks (DNNs) is the process of mapping the parameter values of DNN...
Intracranial aneurysm (IA) is a common cerebrovascular disease that is usually asymptomatic but ma...
Large language models (LLMs) have demonstrated remarkable performance across various machine learn...
Thoracic aortic aneurysms (TAAs) arise from a combination of biological and mechanical factors. Curr...
Aortic aneurysms, including abdominal (AAA) and thoracic (TAA), pose significant challenges due to t...
Early identification of individuals at high risk for aneurysms, particularly ruptured aneurysms, is ...
A comprehensive analysis of artificial intelligence’s (AI) integration into neurosurgery is vital to...