Artificial Intelligence in Neuroanesthesiology and Neurocritical Care

Vanitha Rajagopalan; Dilip K. Kulkarni

doi:10.1055/s-0040-1701954

Journal of Neuroanaesthesiology and Critical Care, Table of Contents

CC BY-NC-ND 4.0 · J Neuroanaesth Crit Care 2020; 7(01): 11-18
DOI: 10.1055/s-0040-1701954

Review Article

Artificial Intelligence in Neuroanesthesiology and Neurocritical Care

Vanitha Rajagopalan

¹Department of Neuroanaesthesiology & Critical Care, All India Institute of Medical Sciences (AIIMS), Ansari Nagar, New Delhi, India

,

Dilip K. Kulkarni

²Department of Anaesthesia, Malla Reddy Narayana Multispeciality Hospital & Malla Reddy Medical College for Women, Suraram, Hyderabad, Telangana, India

› Author Affiliations

Abstract

Artificial intelligence (AI) already influences almost every sector of our daily life, including the rapidly evolving technologies and datasets of healthcare delivery. The applications in medicine have significantly evolved over the past few decades and have shown promising results. Despite constant efforts to incorporate AI into the field of anesthesiology since its inception, it is still not commonplace. Neuroanesthesiology and neurocritical care is a discipline of medicine that deals with patients having disorders of the nervous system comprising a complex combination of both medical and surgical disease conditions. AI can be used for better monitoring, treatment, and outcome prediction, thereby reducing healthcare costs, minimizing delays in patient management, and avoiding medical errors. In this review, we have discussed the applications of AI and its potential in aiding the clinician’s judgment in several aspects of neuroanesthesiology and neurocritical care, some of the barriers to its implementation, and the future trends in improving education in this field, all of which will require further work to understand its exact scope.

Keywords

artificial intelligence - machine learning - neuroanesthesiology - neurocritical care

Full Text

References

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