人工智能在肾移植远期受者中的应用  

Application of artificial intelligence in long-term kidney transplant recipients

作　　者：薛晓强 纪志刚[1] Xue Xiaoqiang;Ji Zhigang(Department ofUrology,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences,Beijing 100730,China)

机构地区：[1]中国医学科学院北京协和医院泌尿外科,北京100730

出　　处：《器官移植》2024年第6期863-867,共5页Organ Transplantation

基　　金：中央高水平医院临床科研专项(2022-PUMCH-B-008)。

摘　　要：近年来,肾移植研究已经取得显著进展,但远期预后仍面临较多问题亟待探索,如排斥反应、感染等。人工智能够模拟和执行类似人类智能的算法和系统,在处理复杂的疾病治疗和预后预测方面具有较大的潜力。随着机器学习、深度学习等人工智能技术的不断进步,研究者开始将人工智能用于肾移植远期预后的预测和优化,并取得了一定的成果。因此,本文就人工智能技术在预测肾移植结局、药物浓度监测及远期并发症中的应用进行综述,探讨人工智能在肾移植远期受者中的应用进展,以及潜在的局限性和解决方案,旨在为促进人工智能在肾移植领域中的实际应用和推广提供新思路。In recent years,significant progress has been made in kidney transplantation research,but long-termprognosis still faces many challenges,such as rejection and infection.Artificial intelligence,which simulates and executesalgorithms and systems similar to human intelligence,it shows great potential in handling complex disease treatments andprognosis predictions.With the continuous advancements in artificial intelligence technologies like machine learning anddeep learning,researchers have started to apply these technologies to predict and optimize long-term outcomes of kidneytransplantation,achieving certain results.Therefore,this article reviews the application of artificial intelligencetechnologies in predicting kidney transplant outcomes,monitoring drug concentrations,and managing long-termcomplications.It explores the progress of artificial intelligence applications in long-term kidney transplant recipients,discusses potential limitations and solutions,and aims to provide new ideas for promoting the practical application anddissemination of artificial intelligence in the field of kidney transplantation.

关 键 词：肾移植 人工智能 机器学习 深度学习 排斥反应 感染 免疫抑制药 远期预后 

分 类 号：R617[医药卫生—外科学] R319[医药卫生—临床医学]