在麻醉领域,人工智能(AI)已经成为一种改变游戏规则的技术。人工智能的应用包括保存记录,监测患者,计算和管理药物,并执行机械程序。本文探讨了当前的用途,挑战,以及人工智能在麻醉实践中的未来应用。这篇综述讨论了人工智能支持系统,如麻醉信息管理系统(AIMS),用于执行程序的机械机器人,和药物递送的药理学模型。AIMS有助于自动保存记录,预测不良事件,监测病人的生命体征.它们的应用对于提高麻醉管理的效果和患者安全具有至关重要的作用。AI在麻醉中的应用有其独特的困难。值得注意的障碍包括数据数量和质量问题,技术限制,道德和法律困境。克服这些障碍的关键是为医疗保健中人工智能的道德使用制定指导方针。提高人工智能系统的可靠性和理解力,并认证健康数据的精确性和安全性。AI有很大的潜力。令人兴奋的未来方向包括人工智能和机器学习的发展,从而开发新的应用程序。以及可能加强培训和教育。潜在的研究领域包括人工智能在慢性病管理中的应用,疼痛管理,加强麻醉师的教育。人工智能可以用来设计真实逼真的训练模拟和个性化的学生反馈系统,从而转变麻醉教育和培训方法。对于这篇评论,我们进行了PubMed,谷歌学者,和Cochrane数据库在2022-2023年进行搜索,并检索了有关AI及其在麻醉中的用途的文章。未来研究和开发的建议包括加强健康数据的安全性和可靠性,建立对人工智能系统的更好理解,并研究新的使用领域。人工智能的力量可以通过专注于这些领域来创新麻醉实践。
In the field of anaesthesia, artificial intelligence (AI) has become a game-changing technology. Applications of AI include keeping records, monitoring patients, calculating and administering drugs, and carrying out mechanical procedures. This article explores the current uses, challenges, and prospective applications of AI in anaesthesia practices. This review discusses AI-supported systems like anaesthesia information management systems (AIMS), mechanical robots for carrying out procedures, and pharmacological models for drug delivery. AIMS has helped in automated record-keeping, predicting bad events, and monitoring the vital signs of the patient. Their application has a vital role in improving the efficacy of anaesthesia management and patient safety. The application of AI in anaesthesia comes with its own unique difficulties. Noteworthy obstacles include issues with data quantity and quality, technical limitations, and moral and legal dilemmas. The key to overcoming these barriers is to set guidelines for the ethical use of AI in healthcare, improve the reliability and comprehension of AI systems, and certify the health data precision and security. AI has very bright potential. Exciting future directions include developments in AI and machine learning thus development of new applications, and the possible enhancement in training and education. Potential research areas include the application of AI to chronic disease management, pain management, and the reinforcement of anaesthesiologists\' education. AI could be used to design authentic lifelike training simulations and individualized student feedback systems, hence transforming anaesthesia education and training methodology. For this review, we conducted a PubMed, Google Scholar, and Cochrane Database search in 2022-2023 and retrieved articles on AI and its uses in anaesthesia. Recommendations for future research and development include strengthening the safety and reliability of health data, building a better understanding of AI systems, and looking into new areas of use. The power of AI can be used to innovate anaesthesia practices by concentrating on these areas.