Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Exploring Artificial Intelligence in Anesthesia: A Primer on Ethics, and Clinical Applications

Version 1 : Received: 30 April 2023 / Approved: 4 May 2023 / Online: 4 May 2023 (11:11:19 CEST)

A peer-reviewed article of this Preprint also exists.

Cascella, M.; Tracey, M.C.; Petrucci, E.; Bignami, E.G. Exploring Artificial Intelligence in Anesthesia: A Primer on Ethics, and Clinical Applications. Surgeries 2023, 4, 264-274. Cascella, M.; Tracey, M.C.; Petrucci, E.; Bignami, E.G. Exploring Artificial Intelligence in Anesthesia: A Primer on Ethics, and Clinical Applications. Surgeries 2023, 4, 264-274.

Abstract

The field of anesthesia has always been at the forefront of innovation and technology, and the integration of Artificial Intelligence (AI) represents the next frontier in anesthesia care. The use of AI and its subtypes such as machine learning has the potential to improve efficiency, reduce costs, and improve patient outcomes. AI can assist with decision-making, but its primary advantage lies in empowering anesthesiologists to adopt a proactive approach to address clinical issues. However, further research and validation are needed to fully understand the benefits and limitations of these applications in clinical practice. Moreover, the ethical implications of AI in anesthesia must also be considered to ensure that patient safety and privacy are not compromised. This paper aims to provide a comprehensive overview of AI in anesthesia, including its current and potential applications, and the ethical considerations that must be considered to ensure the safe and effective use of the technology.

Keywords

Artificial Intelligence; Machine Learning; Anesthesia; Ethics

Subject

Medicine and Pharmacology, Anesthesiology and Pain Medicine

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