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Editorial
. 2024 Jan 31;16(1):e53270.
doi: 10.7759/cureus.53270. eCollection 2024 Jan.

Artificial Intelligence for Personalized Perioperative Medicine

Affiliations
Editorial

Artificial Intelligence for Personalized Perioperative Medicine

Elena Bignami et al. Cureus. .

Abstract

The development of artificial intelligence (AI) is disruptive and unstoppable, also in medicine. Because of the enormous quantity of data recorded during continuous monitoring and the peculiarity of our specialty where stratification and mitigation risk are some of the core aspects, anesthesiology and postoperative intensive care are fertile fields where new technologies find ample room for expansion. Recently, research efforts have focused on the development of a holistic technology that globally embraces the entire perioperative period rather than a fragmented approach where AI is developed to carry out specific tasks. This could potentially revolutionize the perioperative medicine we know today. In fact, AI will be able to expand clinician's ability to interpret, adapt, and ultimately act in a complex reality with facets that are too complex to be managed all at the same time and in a holistic manner. With the support of new tools, as healthcare professionals we have the moral obligation to govern this transition, allowing an ethical and sustainable development of these technologies and avoiding being overwhelmed by them. We should welcome this transhumanist tension which does not aim at the replacement of human capabilities or even at the integration of these but rather at the expansion of a "single intelligence".

Keywords: artificial intelligence in anesthesia; internet of things (iot); patient's trajectories; perioperative medicine; transhumanism.

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Conflict of interest statement

The authors have declared that no competing interests exist.

References

    1. Understanding basic principles of artificial intelligence: a practical guide for intensivists. Bellini V, Cascella M, Cutugno F, Russo M, Lanza R, Compagnone C, Bignami EG. Acta Biomed. 2022;93:0. - PMC - PubMed
    1. Revolutionizing patient care: a comprehensive review of artificial intelligence applications in anesthesia. Singam A. Cureus. 2023;15:0. - PMC - PubMed
    1. Artificial intelligence and machine learning in anesthesiology. Connor CW. Anesthesiology. 2019;131:1346–1359. - PMC - PubMed
    1. Remote monitoring and artificial intelligence: outlook for 2050. Feinstein M, Katz D, Demaria S, Hofer IS. Anesth Analg. 2024;138:350–357. - PMC - PubMed
    1. Role of artificial intelligence in perioperative monitoring in anaesthesia. Shaloo G, Kapoor MC. Indian J Anaesth. 2024;68:87–92. - PMC - PubMed

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