Zeng Shiyue, Qing Qi, Xu Wei, Yu Simeng, Zheng Mingzhi, Tan Hongpei, Peng Junmin, Huang Jing
Zhuzhou Clinical College, Jishou University, Jishou, China.
Department of Anesthesiology, Zhuzhou Central Hospital, Zhuzhou, China.
Front Med (Lausanne). 2024 May 9;11:1365524. doi: 10.3389/fmed.2024.1365524. eCollection 2024.
Precision medicine, characterized by the personalized integration of a patient's genetic blueprint and clinical history, represents a dynamic paradigm in healthcare evolution. The emerging field of personalized anesthesia is at the intersection of genetics and anesthesiology, where anesthetic care will be tailored to an individual's genetic make-up, comorbidities and patient-specific factors. Genomics and biomarkers can provide more accurate anesthetic protocols, while artificial intelligence can simplify anesthetic procedures and reduce anesthetic risks, and real-time monitoring tools can improve perioperative safety and efficacy. The aim of this paper is to present and summarize the applications of these related fields in anesthesiology by reviewing them, exploring the potential of advanced technologies in the implementation and development of personalized anesthesia, realizing the future integration of new technologies into clinical practice, and promoting multidisciplinary collaboration between anesthesiology and disciplines such as genomics and artificial intelligence.
精准医学以患者基因蓝图与临床病史的个性化整合为特征,是医疗保健发展中的一个动态模式。新兴的个性化麻醉领域处于遗传学与麻醉学的交叉点,在这个领域,麻醉护理将根据个体的基因构成、合并症及患者特定因素进行定制。基因组学和生物标志物可以提供更精确的麻醉方案,而人工智能可以简化麻醉程序并降低麻醉风险,实时监测工具可以提高围手术期的安全性和有效性。本文的目的是通过综述这些相关领域在麻醉学中的应用,探索先进技术在个性化麻醉的实施与发展中的潜力,实现新技术与临床实践的未来整合,并促进麻醉学与基因组学、人工智能等学科之间的多学科合作。