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| 人工智能在小儿麻醉中的应用进展 |
| Application progress of artificial intelligence in pediatric anesthesia |
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| DOI：10.12089/jca.2022.09.020 |
| 中文关键词: 人工智能 机器学习 小儿麻醉 围术期管理 |
| 英文关键词: Artificial intelligence Machine learning Pediatric anesthesia Perioperative care |
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| 中文摘要: |
| 人工智能技术已逐步应用到临床麻醉中，在小儿麻醉中的应用及研究日益增多。人工智能可以在术前预警小儿围术期高危事件风险(如围术期死亡和气道不良事件)，辅助气道诊断/评估和围术期输血预测；在术中辅助超声显像、小儿气道管理和呼吸监测，帮助实现麻醉的精准自动化闭环控制；在术后自动监测小儿呼吸模式等。本文总结了医学领域常用的人工智能模型，回顾了目前人工智能应用于小儿麻醉围术期各个阶段的临床研究。人工智能的发展及其在小儿麻醉领域的应用为麻醉科医师在改善患儿的围术期麻醉管理方面提供了思路，有助于预测临床结局，降低围术期风险。 |
| 英文摘要: |
| Artificial intelligence technology has been rapidly expanding with increasing relevance in anesthesia. The body evidence to support the use of artificial intelligence in clinical anesthesia, including pediatric anesthesia, is growing. Preoperatively, artificial intelligence was capable of predicting the risk of serious adverse outcomes including mortality and airway-related events, assisting airway diagnosis/assessment, and improving perioperative transfusion prediction. Intraoperatively, artificial intelligence played an attractive role in facilitating ultrasound-based procedures, pediatric airway management and monitoring, and accurate automatic closed-loop anesthesia. Postoperatively, artificial intelligence helped identify the life-threatening respiratory modes of this vulnerable population. This article introduced the artificial intelligence models utilized in medicine and reviewed the state of the art artificial intelligence applications in pediatric anesthesia throughout each phase of perioperative care. Future artificial intelligence algorithms integrated in every aspect of pediatric anesthesia can supplement anesthesiologists' medical decision-making in perioperative management with improved outcome prediction and overcome unique perioperative risk in pediatric anesthesia. |
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