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作 者:苏博兴[1] 刘宇保 胡卫国[1] 肖博[1] 李建兴[1] Su Boxing;Liu Yubao;Hu Weiguo;Xiao Bo;Li Jianxing(Department of Urology,Beijing Tsinghua Changgung Hospital,School of Clinical Medicine,Tsinghua University,Beijing 102218,China)
机构地区:[1]清华大学附属北京清华长庚医院泌尿外科、清华大学临床医学院,北京102218
出 处:《中华泌尿外科杂志》2024年第5期339-342,共4页Chinese Journal of Urology
摘 要:在2024年美国泌尿外科年会(AUA)中,泌尿系结石领域涉及了基础研究、药物治疗、手术干预等众多方向,多个大规模多中心随机对照临床试验结果也在大会上揭晓,影像导航技术、人工智能、机器学习算法在结石诊疗领域进一步应用.At the annual meeting of American Urological Association(AUA),the field of urinary stone involved many directions such as basic research,drug treatment,surgical intervention,and so on.The results of many expected large-scale multicenter randomized controlled clinical trials were also revealed at the congress.Image navigation technology,artificial intelligence,and machine learning algorithms were further applied in the field of stone diagnosis and treatment.
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