中国输血杂志2025，Vol.38Issue(11)：1502-1513,12.DOI:10.13303/j.cjbt.issn.1004-549x.2025.11.005
人工智能在输血医学中的应用研究进展
Research advances in the application of artificial intelligence in transfusion medicine
摘要
Abstract
Objective To review the current development of artificial intelligence(AI)technology in the field of trans-fusion medicine.Methods A systematic search was conducted in the Clarivate Web of Science Database from inception to December 2024 for literature related to AI and transfusion.A total of 4 775 publications were identified.Based on inclusion and exclusion criteria,133 original studies were ultimately included and analyzed using a narrative synthesis approach.Re-sults Research on AI in transfusion has surged since 2020(accounting for 77%of all publications),with China ranking second globally in publication volume.Among the included studies,69.2%focused on predicting individual transfusion needs,followed by inventory management(8.3%),diagnosis and prediction of adverse transfusion reactions(6.0%),fac-tors influencing transfusion outcomes(5.3%),blood group identification(5.3%),blood quality testing(4.5%),and precise blood volume measurement(1.5%).Additionally,4.5%of the studies were published in journals with an impact factor greater than 10;19.5%developed software or applications;31.5%were multi-center studies;48.1%utilized deci-sion tree methods,while 31.5%employed neural network approaches;and 14.2%conducted external validation of the algo-rithms.Conclusion AI demonstrates significant potential in transfusion risk prediction,decision support,and blood man-agement.However,challenges remain,including limited model generalizability,insufficient algorithm interpretability,and barriers to clinical translation.The deep integration of AI with transfusion medicine will accelerate the advent of precision transfusion era,maximizing blood resource utilization,reducing waste,and ensuring transfusion safety.关键词
人工智能/机器学习/输血/反应/血库/预测模型Key words
artificial intelligence/machine learning/transfusion/reaction/blood banks/prediction model分类
医药卫生引用本文复制引用
杨鑫鑫,徐士岚,韩冰,王立新,程福,杨冬梅,谭斌,秦莉,陈春霞..人工智能在输血医学中的应用研究进展[J].中国输血杂志,2025,38(11):1502-1513,12.基金项目
四川大学华西医院学科卓越发展 1.3.5 工程临床研究孵化项目(2021HXFH048,2024HXFH028) （2021HXFH048,2024HXFH028）
