Key result
Artificial intelligence has the potential to improve monitoring, treatment, and outcome prediction in neuroanesthesiology and neurocritical care, though significant regulatory hurdles remain.
Why the study?
Despite constant efforts to incorporate artificial intelligence into anesthesiology, its use is still not commonplace in neuroanesthesiology and neurocritical care.
Artificial intelligence has potential applications in neuroanesthesiology and neurocritical care for better monitoring, treatment, and outcome prediction, though barriers to implementation remain.
Answers are grounded in this paper and cite their sources.
Encourages cautious AI exploration in neurocritical care; leaves open regulatory validation before any clinical adoption.
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.
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Rajagopalan et al. (2020) conducted a review in Neurological disorders requiring neuroanesthesiology and neurocritical care. Artificial Intelligence was evaluated. Artificial intelligence has the potential to improve monitoring, treatment, and outcome prediction in neuroanesthesiology and neurocritical care, though significant regulatory hurdles remain.
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