Artificial Intelligence and Machine Learning in Anesthesia: Applications and Ethical Considerations

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of anesthesia, offering unprecedented advancements in patient care, surgical outcomes, and clinical decision-making. AI-driven applications, ranging from predictive analytics and personalized anesthesia plans to robotic-assisted procedures, are being increasingly integrated into anesthetic practice. This article explores the current and potential applications of AI and ML in anesthesia, focusing on their impact on perioperative care, monitoring, and drug administration. Additionally, the article delves into the ethical considerations associated with the use of AI in clinical settings, including issues related to patient autonomy, data privacy, bias in algorithms, and the evolving role of the anesthesiologist in an AI-driven environment. As AI continues to evolve, it is imperative to balance technological advancements with ethical guidelines to ensure that AI-driven anesthetic practices benefit patients while maintaining the highest standards of care and safety.

Authors

Publication Details

Journal
NATIONAL BOARD OF EXAMINATIONS JOURNAL OF MEDICAL SCIENCES
Published
2024-11-11
DOI
https://doi.org/10.61770/nbejms.2024.v02.i11.s07
Citations
2
Primary Topic
Cardiac, Anesthesia and Surgical Outcomes
Type
article
Field-Weighted Citation Impact
0.80
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article

Artificial Intelligence and Machine Learning in Anesthesia: Applications and Ethical Considerations

Amit Malviya, Puneet Khanna
2 citations
NATIONAL BOARD OF EXAMINATIONS JOURNAL OF MEDICAL SCIENCES
Cardiac, Anesthesia and Surgical Outcomes
0.80
article

Artificial Intelligence and Machine Learning in Anesthesia: Applications and Ethical Considerations

Amit Malviya, Puneet Khanna
article en
2 citations

Abstract

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the field of anesthesia, offering unprecedented advancements in patient care, surgical outcomes, and clinical decision-making. AI-driven applications, ranging from predictive analytics and personalized anesthesia plans to robotic-assisted procedures, are being increasingly integrated into anesthetic practice. This article explores the current and potential applications of AI and ML in anesthesia, focusing on their impact on perioperative care, monitoring, and drug administration. Additionally, the article delves into the ethical considerations associated with the use of AI in clinical settings, including issues related to patient autonomy, data privacy, bias in algorithms, and the evolving role of the anesthesiologist in an AI-driven environment. As AI continues to evolve, it is imperative to balance technological advancements with ethical guidelines to ensure that AI-driven anesthetic practices benefit patients while maintaining the highest standards of care and safety.

NATIONAL BOARD OF EXAMINATIONS JOURNAL OF MEDICAL SCIENCESVol. 2(11)
Peace, Justice and strong institutions
Openalex Percentile: Top 23%
Cardiac, Anesthesia and Surgical Outcomes
0.80
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Artificial Intelligence and Machine Learning in Anesthesia: Applications and Ethical Considerations — Amit Malviya, Puneet Khanna · NATIONAL BOARD OF EXAMINATIONS JOURNAL OF MEDICAL SCIENCES (2024) | TGRS Research Map | TGRS