Advances in experimental medicine and biology
39523285
In this chapter, we give an overview of artificial intelligence tools and their use thus far in pediatric neurosurgery. We discuss different machine learning algorithms from a data-driven approach in order to guide clinicians and scientists as they a...
Advances in experimental medicine and biology
39523266
A large language model (LLM), in the context of natural language processing and artificial intelligence, refers to a sophisticated neural network that has been trained on a massive amount of text data to understand and generate human-like language. T...
Advances in experimental medicine and biology
39523264
"Bayesian Neural Networks in Predictive Neurosurgery" explains both conceptually and theoretically the combination of statistical techniques for clinical prediction models, including artificial neural networks, Bayesian regression, and Bayesian neura...
Advances in experimental medicine and biology
39523259
This chapter explores the transformative impact of deep learning (DL) on neurosurgery, elucidating its pivotal role in enhancing diagnostic performance, surgical planning, execution, and postoperative assessment. It delves into various deep learning ...
Advances in experimental medicine and biology
39523257
Computational neurosurgery is a novel and disruptive field where artificial intelligence and computational modeling are used to improve the diagnosis, treatment, and prognosis of patients affected by diseases of neurosurgical relevance. The field aim...
Advances in experimental medicine and biology
39523256
Computational neurosurgery is a novel translational field where computational modeling and artificial intelligence are used to improve diagnosis, treatment, and prognosis of patients affected by diseases of neurosurgical relevance. By laying the foun...
Artificial Intelligence (AI) is revolutionizing neurosurgery by enhancing diagnostic accuracy, surgical planning, and personalized patient care. Despite challenges like data privacy and bias, AI's integration promises to transform surgical outcomes a...
OBJECTIVE: In this study the authors assessed the ability of Chat Generative Pretrained Transformer (ChatGPT) 3.5 and ChatGPT4 to generate readable and accurate summaries of published neurosurgical literature.
It may only be a handful of years before fully autonomous neurosurgical robots (ANRs) are pushed into widespread clinical adoption. Nevertheless, whether it is ethical to greenlight the development and adoption of ANRs is still up for debate. On the ...