The role and pitfalls of health care artificial intelligence algorithms in closed-loop anesthesia systems

KevinMD November 12, 2024
Neil Anand, MD

Automation and artificial intelligence (AI) have been advancing steadily in health care, and anesthesia is no exception. A critical development in this area is the rise of closed-loop AI systems, which automatically control specific medical variables using feedback mechanisms. The primary goal of these systems is to improve the stability of key physiological parameters, minimize the repetitive workload on anesthesia practitioners, and, most importantly, enhance patient outcomes. For instance, closed-loop systems use real-time feedback from processed electroencephalogram (EEG) data to manage propofol administration, regulate blood pressure using vasopressors, and leverage fluid responsiveness predictors to guide intravenous fluid therapy.

Anesthesia AI closed-loop systems can manage multiple variables simultaneously, such as sedation, muscle relaxation, and overall hemodynamic stability. A few clinical trials...

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