Chapter 1 : Neurons to Networks - Introducing the Role of Artificial Intelligence in Modern Neurosurgery Chapter 2 : Multimodal Foundation Models for Healthcare Chapter 3 : From Data to Decisions: AI-Driven Outcome Prediction in Spine Surgery Chapter 4 : Outcome Prediction in Brain Surgery Chapter 5 : Outcome Prediction in Neurosurgery: Liquid Biopsy and the Role of Machine Learning Chapter 6 : Diagnostic Applications of Artificial Intelligence in Neuro Oncology Chapter 7 : Detection and Diagnosis of Cerebrovascular Lesions Using Artificial Intelligence Chapter 8 : Artificial Intelligence Usage by Robotics in Neurosurgery Chapter 9 : The Compass of the Future: Machine Learning-Guided Navigation in Spine Surgery Chapter 10 : Artificial Intelligence for Surgical Workflow Analysis Chapter 11 : The Mind-Machine Interface Chapter 12 : Neurosurgical Sub-Task Automation Chapter 13 : Artificial Intelligence for Simulation and Neurosurgical Training Chapter 14 : Computer Vision in Neurosurgery Chapter 15 : Large Language Models in Neurosurgery Chapter 16 : Federated Learning in Neurosurgery Chapter 17 : Policy Perspective on the Regulatory Landscape, Evaluation, and Translation of Artificial Intelligence for Neurosurgery Chapter 18 : Neurosurgical Data Sources and Data Needs for Artificial Intelligence Chapter 19 : Current Challenges for Deep Learning Neurosurgery: Clinically Applicable Metrics and Domain Shift Chapter 20 : Using Operating Room Audio and Video for Predictive Analytics Chapter 21 : Advancing Basic Laboratory Research by Artificial Intelligence.