Showing 71 to 80 of 110 articles
Clear Filters
Advances in experimental medicine and biology
Jan 1, 2024
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
Jan 1, 2024
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
Jan 1, 2024
"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
Jan 1, 2024
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
Jan 1, 2024
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
Jan 1, 2024
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...
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2022
Traditional methods to access subcortical structures involve the use of anatomical atlases and high precision stereotaxic frames but suffer from significant variations in implantation accuracy. Here, we leveraged the use of the ROSA One(R) Robot Assi...
Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition
Jul 1, 2022
The application of surgical robots in neurosurgery has formed a rapidly developing and fascinating new field that is revolutionizing the way neurosurgeries are performed. Herein, we discussed the prospects of the future development of neurosurgery ro...
Studies in health technology and informatics
Jun 29, 2022
In this study, we update the evaluation of the Russian GPT3 model presented in our previous paper in predicting the length of stay (LOS) in neurosurgery. We aimed to assess the performance the Russian GPT-3 (ruGPT-3) language model in LOS prediction ...
Studies in health technology and informatics
Jan 14, 2022
Patients, relatives, doctors, and healthcare providers anticipate the evidence-based length of stay (LOS) prediction in neurosurgery. This study aimed to assess the quality of LOS prediction with the GPT3 language model upon the narrative medical rec...