Latest AI and machine learning research in neurosurgery for healthcare professionals.
Background Deep learning (DL) could improve the labor-intensive, challenging processes of diagnosing...
This study presents an innovative method to increase the accuracy of coil selection for treating cer...
This paper proposes a fuzzy-label weighted deep learning-based image classification approach for ass...
BACKGROUND: Artificial intelligence (AI) models in real-world implementation are scarce. Our study a...
One of the challenges of AI technologies is its "black box" nature, or the lack of explainability an...
The rapid pace of development and application of digital technology and data science, including arti...
In this chapter, we give an overview of artificial intelligence tools and their use thus far in pedi...
The advent of different realms of computational neurosurgery-including not only machine intelligence...
A large language model (LLM), in the context of natural language processing and artificial intellige...
"Bayesian Neural Networks in Predictive Neurosurgery" explains both conceptually and theoretically t...
This chapter explores the transformative impact of deep learning (DL) on neurosurgery, elucidating i...
Computational neurosurgery is a novel and disruptive field where artificial intelligence and computa...
Computational neurosurgery is a novel translational field where computational modeling and artificia...
Background Recent advancements in artificial intelligence (AI)-powered image generation present oppo...
To investigate the surgical efficacy of neurosurgery robot deep brain stimulation(DBS) in the treat...
The field of robotic microsurgery and micro-manipulation has undergone a profound evolution in recen...