Latest AI and machine learning research in neurosurgery for healthcare professionals.
Cerebral aneurysm rupture, leading to subarachnoid hemorrhage with a high mortality rate, disproportionately affects younger populations, resulting in a significant loss of productive life years. A significant proportion of these deaths is due to aneurysmal re-bleeding within the first three days following the initial bleed, prior to treatment. While early aneurysm treatment is recommended, ther...
An abdominal aortic aneurysm (AAA) is a life-threatening condition characterized by the irreversible dilation of the lower aorta, usually detected incidentally during imaging for other health issues. Current clinical practice for managing AAA relies on a one-size-fits-all approach, based on the aneurysm's maximum diameter and growth rate, which can lead to underestimation or overestimation of AA...
This paper proposes a fuzzy-label weighted deep learning-based image classification approach for assessing computed tomography (CT) image quality. Mor...
This study presents an innovative method to increase the accuracy of coil selection for treating cerebral aneurysms, leveraging advanced image analysi...
BACKGROUND: Artificial intelligence (AI) models in real-world implementation are scarce. Our study aimed to develop a CT angiography (CTA)-based AI mo...
Background Recent advancements in artificial intelligence (AI)-powered image generation present opportunities to enhance three-dimensional medical ima...
Computational neurosurgery is a novel translational field where computational modeling and artificial intelligence are used to improve diagnosis, trea...
Computational neurosurgery is a novel and disruptive field where artificial intelligence and computational modeling are used to improve the diagnosis,...
This chapter explores the transformative impact of deep learning (DL) on neurosurgery, elucidating its pivotal role in enhancing diagnostic performanc...
"Bayesian Neural Networks in Predictive Neurosurgery" explains both conceptually and theoretically the combination of statistical techniques for clini...
A large language model (LLM), in the context of natural language processing and artificial intelligence, refers to a sophisticated neural network that...
The advent of different realms of computational neurosurgery-including not only machine intelligence but also visualization techniques such as mixed r...
In this chapter, we give an overview of artificial intelligence tools and their use thus far in pediatric neurosurgery. We discuss different machine l...
The rapid pace of development and application of digital technology and data science, including artificial intelligence (AI), is transforming our worl...
One of the challenges of AI technologies is its "black box" nature, or the lack of explainability and interpretability of these technologies. This cha...
To investigate the surgical efficacy of neurosurgery robot deep brain stimulation(DBS) in the treatment of elderly Parkinson's disease(PD). The clin...
Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized by the presence of a combination of five clinical ...