Singhal Meghna, Gupta Lalit, Hirani Kshitiz
Department of Anesthesiology and Critical Care, Maulana Azad Medical College, Delhi, IND.
Department of Anesthesiology and Critical Care, University College of Medical Sciences and Guru Teg Bahadur Hospital, Delhi, IND.
Cureus. 2023 Sep 11;15(9):e45038. doi: 10.7759/cureus.45038. eCollection 2023 Sep.
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.
在麻醉领域，人工智能（AI）已成为一项改变游戏规则的技术。人工智能的应用包括记录保存、患者监测、药物计算与给药以及实施机械操作。本文探讨了人工智能在麻醉实践中的当前用途、挑战和潜在应用。本综述讨论了人工智能支持的系统，如麻醉信息管理系统（AIMS）、用于实施操作的机械机器人以及药物递送的药理学模型。AIMS有助于自动记录保存、预测不良事件以及监测患者的生命体征。它们的应用在提高麻醉管理效果和患者安全方面发挥着至关重要的作用。人工智能在麻醉中的应用也有其独特的困难。值得注意的障碍包括数据数量和质量问题、技术限制以及道德和法律困境。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可理解性，并确保健康数据的准确性和安全性。人工智能具有非常光明的潜力。令人兴奋的未来发展方向包括人工智能和机器学习的发展从而开发新的应用，以及在培训和教育方面可能的改进。潜在的研究领域包括人工智能在慢性病管理、疼痛管理以及加强麻醉医生教育方面的应用。人工智能可用于设计逼真的模拟训练和个性化的学生反馈系统，从而改变麻醉教育和培训方法。为了撰写本综述，我们在2022 - 2023年对PubMed、谷歌学术和考克兰数据库进行了搜索，并检索了关于人工智能及其在麻醉中应用的文章。对未来研发的建议包括加强健康数据的安全性和可靠性、更好地理解人工智能系统以及探索新的应用领域。通过关注这些领域，人工智能的力量可用于创新麻醉实践。
