BACKGROUND: The relentless integration of Artificial Intelligence (AI) into neurosurgery necessitates a meticulous exploration of the associated ethical concerns. This systematic review focuses on synthesizing empirical studies, reviews, and opinion ...
Advances in experimental medicine and biology
Jan 1, 2024
One of the challenges of AI technologies is its "black box" nature, or the lack of explainability and interpretability of these technologies. This chapter explores whether AI systems in healthcare generally, and in neurosurgery specifically, should b...
Advances in experimental medicine and biology
Jan 1, 2024
The rapid pace of development and application of digital technology and data science, including artificial intelligence (AI), is transforming our world. In this chapter, we address the question: "Is bioethics relevant to how we should develop, govern...
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...
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