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中华移植杂志(电子版) ›› 2025, Vol. 19 ›› Issue (06) : 482 -485. doi: 10.3877/cma.j.issn.1674-3903.2025.06.017

综述

人工智能在肾移植领域的应用进展
李伯钦1,2, 朱一辰1,2, 田野1,2, 赵美姗1,2,()   
  1. 1100050 北京,首都医科大学附属北京友谊医院泌尿外科
    2100500 北京,北京市卫生健康委员会泌尿外科研究所
  • 收稿日期:2025-02-27 出版日期:2025-12-25
  • 通信作者: 赵美姗
  • 基金资助:
    北京市临床重点专科建设项目(20240930); 国家临床重点专科建设项目(20250829)

Advances in the application of artificial intelligence in kidney transplantation

Boqin Li1,2, Yichen Zhu1,2, Ye Tian1,2, Meishan Zhao1,2,()   

  1. 1Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China
    2Institute of Urology, Beijing Municipal Health Commission, Beijing 100050, China
  • Received:2025-02-27 Published:2025-12-25
  • Corresponding author: Meishan Zhao
引用本文:

李伯钦, 朱一辰, 田野, 赵美姗. 人工智能在肾移植领域的应用进展[J/OL]. 中华移植杂志(电子版), 2025, 19(06): 482-485.

Boqin Li, Yichen Zhu, Ye Tian, Meishan Zhao. Advances in the application of artificial intelligence in kidney transplantation[J/OL]. Chinese Journal of Transplantation(Electronic Edition), 2025, 19(06): 482-485.

随着科技发展和医疗大数据信息化进展,人工智能(AI)与机器学习在医学领域的应用日益广泛。随着肾移植手术技术不断精进,围手术期和术后管理向个体化、精细化发展,受者生存质量和远期预后均明显改善。AI技术正逐步为肾移植带来新的变革。本文综述国内外关于AI技术在肾移植供受者匹配、手术辅助、术后并发症预测以及免疫抑制剂管理领域应用的最新研究成果,以期推动和促进AI技术在肾移植全过程的应用,进而造福更多肾移植受者。

With the development of technology and the informatization of medical big data, artificial intelligence (AI) and machine learning have been increasingly applied in the medical field. With continuous improvements in surgical techniques of kidney transplantation and the progression towards individualized and refined perioperative and postoperative management, quality of life and long-term prognosis have significantly improved. AI technologies are gradually transforming traditional practice in kidney transplantation management. This article comprehensively analyzes the latest research findings on the application of AI in kidney transplantation in the areas of donor-recipient matching, surgical assistance, prediction of postoperative complications, and immunosuppressant management both domestically and internationally. The aim is to promote further research and facilitate the application of AI in the field of kidney transplantation, ultimately improving outcomes for more kidney transplant patients.

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