Skull Base Surgery

Skull base surgery, a complex and delicate procedure, aims to improve patient outcomes and surgical efficiency. Current research focuses on enhancing precision and safety through advancements in robotic assistance, including haptic feedback and force control algorithms, and the development of AI-driven tools such as image-grounded LLMs for visual question answering and predictive models for optimizing surgical workflow. These innovations leverage techniques like digital twins, spatio-temporal neural networks, and advanced image processing to improve intraoperative decision-making, surgical planning, and ultimately, patient care.