Abstract
The development of advanced Artificial Intelligence (AI) models raises various challenges and doubts about applications, benefits, limitations and possible complications of the use of this disruptive technology. Rapid advances in AI have led to analysis, diagnosis, management and prediction applications in anesthesiology in various areas, mainly: preoperative assessment and perioperative risk prediction; intraoperative monitoring and drug administration; and postoperative, allowing the anesthesiologist to adopt a proactive approach in the prevention, approach, resolution of crisis situations in the intraoperative and monitoring systems in the postoperative. The adaptation of AI algorithms and tools in anesthesia offers great potential that must be exploited under ethical precepts and considerations, in data analysis with predictive capabilities, optimization of strategies and automated assistance focused on patient safety.
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los Santos, C. A. M. D., Escudero-Guitérrez, F., Hernández-Morales, F., Garza-Santos, A., Reyes-Gutiérrez, A., & Cantú-Flores, F. (2024, May 1). Future anesthesia and artificial Intelligence. Revista Chilena de Anestesia. Sociedad de Anestesiologia de Chile. https://doi.org/10.25237/revchilanestv53n3-02
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