Anesthesiology\'s next frontier: Exploring the boundless potential of artificial intelligence

A. Shetti, A. R. Kumar, A. Nagaraj, Shramana M. Banerjee, Ashwin A.B., Nidhal S Mohamed
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引用次数: 1

Abstract

Artificial Intelligence (AI) is a rapidly growing field that has the potential to revolutionize various industries, including healthcare. In the field of anesthesia, AI has shown great promise in improving patient outcomes and enhancing the overall efficiency and safety of anesthesia practices. One of the main ways AI is being used in anesthesia is through predictive modeling, where machine learning algorithms are trained on large datasets to identify patterns and make predictions about patient outcomes. For example, AI can be used to predict patient response to anesthesia, predict the likelihood of postoperative complications, or optimize drug dosing. This allows anesthesiologists to make more informed decisions and reduce the risk of adverse events. Another area where AI is being used in anesthesia is in computer-assisted drug dosing. With the help of AI, anesthesiologists can determine the optimal dose of anesthesia for each patient, taking into account factors such as age, weight, medical history, and the type of surgery being performed. This helps to improve patient safety and reduce the risk of adverse events. As AI technology continues to advance, it is likely that the use of AI in anesthesia will become more widespread, and it will play an increasingly important role in improving patient outcomes and enhancing the overall quality of care in the field of anesthesia. Overall, the integration of AI in anesthesia is a promising development that has the potential to transform the field and improve patient outcomes. Telemedicine is one of the area where AI is utilized which will drastically contribute the healthcare system especially for underdeveloped and developing countries.
麻醉学的下一个前沿:探索人工智能的无限潜力
人工智能(AI)是一个快速发展的领域,有可能彻底改变包括医疗保健在内的各个行业。在麻醉领域,人工智能在改善患者预后和提高麻醉实践的整体效率和安全性方面显示出巨大的希望。人工智能在麻醉中应用的主要方式之一是通过预测建模,在大型数据集上训练机器学习算法,以识别模式并预测患者的结果。例如,人工智能可用于预测患者对麻醉的反应,预测术后并发症的可能性,或优化药物剂量。这使得麻醉师可以做出更明智的决定,减少不良事件的风险。人工智能在麻醉中的另一个应用领域是计算机辅助给药。在人工智能的帮助下,麻醉师可以根据年龄、体重、病史和正在进行的手术类型等因素,确定每位患者的最佳麻醉剂量。这有助于提高患者的安全性并减少不良事件的风险。随着人工智能技术的不断进步,人工智能在麻醉中的应用可能会更加广泛,在改善患者预后和提高麻醉领域整体护理质量方面发挥越来越重要的作用。总的来说,人工智能在麻醉中的整合是一个有前途的发展,有可能改变这一领域并改善患者的预后。远程医疗是人工智能被利用的领域之一,它将极大地促进医疗保健系统,特别是不发达国家和发展中国家。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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