人工智能在下肢骨折患者麻醉方式选择及监测中的应用研究进展
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河南省洛阳正骨医院(河南省骨科医院)

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Research progress on the application of artificial intelligence in the selection and monitoring of anesthesia methods for patients with lower limb fractures
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Luoyang Orthopedic-Traumatological Hospital Of Henan Province(Henan Provincial Orthopedic Hospital)

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    摘要:

    下肢骨折是骨科常见的创伤性疾病,临床上此类患者主要采取手术治疗,围手术期麻醉管理对手术效果及术后康复具有重要作用。传统麻醉方式及术中监测主要依赖麻醉医师的临床经验,具有一定主观性。随着人工智能(artificial intelligence,AI)技术的发展,其在麻醉领域的应用日益广泛。本文就AI在下肢骨折患者麻醉管理中的应用研究进展进行综述,并探讨当前面临的挑战,展望未来发展方向

    Abstract:

    Lower limb fractures are a common traumatic disease in orthopedics. Clinically, surgical treatment is the main approach for such patients. The anesthesia management during the perioperative period plays a crucial role in the overall surgical outcome and the postoperative recovery of patients. Traditional anesthesia methods and intraoperative monitoring mainly rely on the clinical experience of anesthesiologists, which is somewhat subjective. With the development of artificial intelligence (AI) technology, its application in the field of anesthesia is becoming increasingly widespread. This article reviews the research progress of AI technology in anesthesia management for patients with lower limb fractures and discusses the current challenges, as well as the prospects for future development.

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张梦露,杨晶敬.人工智能在下肢骨折患者麻醉方式选择及监测中的应用研究进展[J].生物医学工程学进展,2026,47(2):248-251

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  • 收稿日期:2026-04-24
  • 最后修改日期:2026-05-07
  • 录用日期:2026-05-14
  • 在线发布日期: 2026-06-15
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