Suresh Vinay, Singh Kaushal K, Vaish Esha, Gurjar Mohan, Ambuli Nambi Anbuvanan, Khulbe Yashita, Muzaffar Syed
General Medicine and Surgery, King George's Medical University, Lucknow, IND.
General Medicine, King George's Medical University, Lucknow, IND.
Cureus. 2024 May 7;16(5):e59797. doi: 10.7759/cureus.59797. eCollection 2024 May.
Artificial intelligence (AI) is a technique that attempts to replicate human intelligence, analytical behavior, and decision-making ability. This includes machine learning, which involves the use of algorithms and statistical techniques to enhance the computer's ability to make decisions more accurately. Due to AI's ability to analyze, comprehend, and interpret considerable volumes of data, it has been increasingly used in the field of healthcare. In critical care medicine, where most of the patient load requires timely interventions due to the perilous nature of the condition, AI's ability to monitor, analyze, and predict unfavorable outcomes is an invaluable asset. It can significantly improve timely interventions and prevent unfavorable outcomes, which, otherwise, is not always achievable owing to the constrained human ability to multitask with optimum efficiency. AI has been implicated in intensive care units over the past many years. In addition to its advantageous applications, this article discusses its disadvantages, prospects, and the changes needed to train future critical care professionals. A comprehensive search of electronic databases was performed using relevant keywords. Data from articles pertinent to the topic was assimilated into this review article.
人工智能（AI）是一种试图复制人类智能、分析行为和决策能力的技术。这包括机器学习，它涉及使用算法和统计技术来提高计算机更准确地做出决策的能力。由于人工智能具有分析、理解和解释大量数据的能力，它在医疗保健领域的应用越来越广泛。在重症医学中，由于病情危急，大多数患者需要及时干预，人工智能监测、分析和预测不良结果的能力是一项宝贵的资产。它可以显著改善及时干预并预防不良结果，否则，由于人类以最佳效率进行多任务处理的能力有限，这并不总是能够实现的。在过去的许多年里，人工智能已经在重症监护病房得到应用。除了其有利的应用之外，本文还讨论了其缺点、前景以及培训未来重症医学专业人员所需的变革。使用相关关键词对电子数据库进行了全面搜索。与该主题相关的文章中的数据被纳入了这篇综述文章。
