The Promise of Artificial Intelligence in Neuroanesthesia: An Update

Author:

Liao Zhenrui1,Mathur Niharika2,Joshi Vidur3,Joshi Shailendra4

Affiliation:

1. Department of Neuroscience, Columbia University, New York, New York, United States

2. School of Interactive Computing, College of Computing, Georgia Institute of Technology, Atlanta, Georgia, United States

3. Department of Biomedical Engineering, Steven's Institute of Technology, Hoboken, New Jersey, United States

4. Department of Anesthesiology, Columbia University, New York, New York, United States

Abstract

AbstractArtificial intelligence (AI) is poised to transform health care across medical specialties. Although the application of AI to neuroanesthesiology is just emerging, it will undoubtedly affect neuroanesthesiologists in foreseeable and unforeseeable ways, with potential roles in preoperative patient assessment, airway assessment, predicting intraoperative complications, and monitoring and interpreting vital signs. It will advance the diagnosis and treatment of neurological diseases due to improved risk identification, data integration, early diagnosis, image analysis, and pharmacological and surgical robotic assistance. Beyond direct medical care, AI could also automate many routine administrative tasks in health care, assist with teaching and training, and profoundly impact neuroscience research. This article introduces AI and its various approaches from a neuroanesthesiology perspective. A basic understanding of the computational underpinnings, advantages, limitations, and ethical implications is necessary for using AI tools in clinical practice and research. The update summarizes recent reports of AI applications relevant to neuroanesthesiology. Providing a holistic view of AI applications, this review shows how AI could usher in a new era in the specialty, significantly improving patient care and advancing neuroanesthesiology research.

Publisher

Georg Thieme Verlag KG

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