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Artificial Intelligence (AI) is being used in the field of neurosurgery for improving patient outcomes, reducing the risk of complications, and increasing the efficiency of surgical procedures. AI algorithms can analyze patient data, plan surgical procedures, guide surgical instruments, monitor brain activity, and improve post-operative care. The benefits of incorporating AI into neurosurgical practice include pre-operative planning, intraoperative navigation, real-time monitoring, and post-operative care. AI is already being used in neurosurgery for image segmentation, surgical planning, intraoperative navigation, real-time monitoring, and predictive analytics. The potential applications of AI in neurosurgery include personalized medicine, virtual reality, robotic surgery, predictive analytics, and medical imaging. However, the challenges of incorporating AI into neurosurgical practice are data quality, data privacy and security, regulatory frameworks, and training and education. In short, AI has the potential to completely transform the discipline of neurosurgery, but there is a need to address the challenges associated with its incorporation into neurosurgical practice.
Ahtesham Khizar (Fri,) studied this question.