The Impact/Role of Artificial Intelligence in Anesthesia: Remote Pre-Operative Assessment and Perioperative

Kazmi, Sayed Athar Hussain (2023) The Impact/Role of Artificial Intelligence in Anesthesia: Remote Pre-Operative Assessment and Perioperative. Asian Journal of Medicine and Health, 21 (12). pp. 95-100. ISSN 2456-8414

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Abstract

Artificial intelligence is a thriving field in the modern world today. Almost every other operation in today’s world is being integrated with the application of Artificial Intelligence (AI). Artificial Intelligence does not only include the automation of conventional processes, but also includes the introduction of several new programs and interactions that help make work easier for everyone.

The introduction of artificial intelligence (AI) into the realm of anesthesia, particularly in remote pre-operative assessment and perioperative care, brings forth a nuanced landscape of advantages and challenges. On the positive side, AI demonstrates remarkable efficiency and precision in the preoperative phase, rapidly analyzing extensive datasets to offer accurate insights into patient health and potential risks. Its expertise in predicting and struggling through anesthesia-related risks stands out, aiding healthcare professionals in anticipating challenges and allowing for personalized interventions. The capability to tailor anesthesia plans based on individual patient characteristics further adds a layer of sophistication, potentially optimizing administration and improving overall outcomes. In perioperative care, AI’s remote monitoring capabilities provide real-time insights into vital signs and potential complications, enabling patient safety through prompt responses. Additionally, AI serves as a valuable decision support system, offering recommendations and additional information for more informed decision-making.

This article shall review the scope of artificial intelligence within the field of anesthesia and would reflect upon how it has helped people living in remote areas access better healthcare facilities through its proposition.

Item Type: Article
Subjects: STM Repository > Medical Science
Depositing User: Managing Editor
Date Deposited: 02 Jan 2024 11:42
Last Modified: 02 Jan 2024 11:42
URI: http://classical.goforpromo.com/id/eprint/4981

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