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Neurosurgical Procedures

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Artificial Intelligence, Radiomics, and Computational Modeling in Skull Base Surgery.

Advances in experimental medicine and biology
This chapter explores current artificial intelligence (AI), radiomics, and computational modeling applications in skull base surgery. AI advancements are providing opportunities to improve diagnostic accuracy, surgical planning, and postoperative car...

Machine and Deep Learning in Hyperspectral Fluorescence-Guided Brain Tumor Surgery.

Advances in experimental medicine and biology
Malignant glioma resection is often the first line of treatment in neuro-oncology. During glioma surgery, the discrimination of tumor's edges can be challenging at the infiltration zone, even by using surgical adjuncts such as fluorescence guidance (...

Large Language Models in Neurosurgery.

Advances in experimental medicine and biology
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...

Deep Learning: A Primer for Neurosurgeons.

Advances in experimental medicine and biology
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 ...

Declaration of Computational Neurosurgery.

Advances in experimental medicine and biology
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...

Computational Neurosurgery: Foundation.

Advances in experimental medicine and biology
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...

Combination design of drive mechanism considering delay of surgical robot.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Surgical robots have contributed greatly to the development of minimally invasive surgery. However, these robots suffer from issues such as the looseness of wires acting as the robot's drive mechanism, and high maintenance cost. The objective of this...

Predicting the Length of Stay in Neurosurgery with RuGPT-3 Language Model.

Studies in health technology and informatics
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 ...