Related Experiment Video
Updated: Sep 13, 2025

Building An Open-source Robotic Stereotaxic Instrument
Published on: October 29, 2013
Advancements in Neuroanesthesia Through Artificial Intelligence
Ala Nozari1, Dhanesh D Binda2, Maxwell B Baker1
1Department of Anesthesiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Abstract:
Artificial intelligence (AI) is transforming neuroanesthesia by enhancing precision and efficiency in managing patients during neurosurgical procedures. AI uses advanced algorithms and machine learning techniques to predict complications, optimize anesthesia depth, and provide real-time clinical support. Despite challenges, such as data privacy, AI offers substantial benefits. Key applications in neuroanesthesia include predictive analytics for forecasting neurologic complications, advanced neuroimaging for precise neural identification, intelligent devices for real-time anesthesia adjustments, and streamlined administrative operations for coordinating complex procedures. As AI continues to evolve, its integration into neuroanesthesia promises to further advance patient-care and surgical efficiency.
Related Concept Videos
General Anesthesia: Overview
General anesthesia induces unconsciousness in the whole body, while the others target specific areas or sensations. It is administered to minimize adverse effects, maintain...
Stages of General Anesthesia

