Nemani Sugandhi, Goyal Shilpa, Sharma Ankur, Kothari Nikhil
Department of Anaesthesiology and Critical Care, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Department of Trauma and Emergency, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India.
Saudi J Anaesth. 2024 Jul-Sep;18(3):410-416. doi: 10.4103/sja.sja_110_24. Epub 2024 Jun 4.
Artificial intelligence is an ever-growing modality revolutionizing the field of medical science. It utilizes various computational models and algorithms and helps out in different sectors of healthcare. Here, in this scoping review, we are trying to evaluate the use of Artificial intelligence (AI) in the field of pediatric anesthesia, specifically in the more challenging domain, the pediatric airway. Different components within the domain of AI include machine learning, neural networks, deep learning, robotics, and computer vision. Electronic databases like Google Scholar, Cochrane databases, and Pubmed were searched. Different studies had heterogeneity of age groups, so all studies with children under 18 years of age were included and assessed. The use of AI was reviewed in the preoperative, intraoperative, and postoperative domains of pediatric anesthesia. The applicability of AI needs to be supplemented by clinical judgment for the final anticipation in various fields of medicine.
人工智能是一种不断发展的模式，正在彻底改变医学领域。它利用各种计算模型和算法，并在医疗保健的不同领域发挥作用。在此范围综述中，我们试图评估人工智能（AI）在小儿麻醉领域的应用，特别是在更具挑战性的小儿气道领域。人工智能领域的不同组成部分包括机器学习、神经网络、深度学习、机器人技术和计算机视觉。我们检索了谷歌学术、考克兰数据库和PubMed等电子数据库。不同研究的年龄组存在异质性，因此纳入并评估了所有涉及18岁以下儿童的研究。我们对人工智能在小儿麻醉术前、术中和术后领域的应用进行了综述。在医学的各个领域，人工智能的适用性需要通过临床判断来补充，以进行最终预测。
