Advancements in Neuroanesthesia Through Artificial Intelligence.

Journal: Anesthesiology clinics
Published Date:

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.

Authors

  • Ala Nozari
    Department of Anesthesiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA. Electronic address: ala.nozari@bmc.org.
  • Dhanesh D Binda
    Department of Anesthesiology, Montefiore Medical Center, Bronx, NY, USA.
  • Maxwell B Baker
    Department of Anesthesiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.