中国癌症杂志 ›› 2022, Vol. 32 ›› Issue (1): 68-74.doi: 10.19401/j.cnki.1007-3639.2022.01.009
徐文浩, 田熙, 艾合太木江·安外尔(), 瞿元元, 施国海, 张海梁, 叶定伟()
收稿日期:
2021-07-07
修回日期:
2021-09-23
出版日期:
2022-01-30
发布日期:
2022-01-25
通信作者:
叶定伟
E-mail:dwyelie@163.com
XU Wenhao, TIAN Xi, Aihetaimujiang·Anwaier (), QU Yuanyuan, SHI Guohai, ZHANG Hailiang, YE Dingwei()
Received:
2021-07-07
Revised:
2021-09-23
Published:
2022-01-30
Online:
2022-01-25
Contact:
YE Dingwei
E-mail:dwyelie@163.com
摘要:
近年来,机器学习和神经网络技术的进步使得人工智能(artificial intelligence,AI)在指导临床诊断、治疗和资源投入等方面产生了巨大影响。在泌尿系统肿瘤领域,AI在改善前列腺癌、肾癌和膀胱癌的诊断和治疗方面取得了诸多进步,已可利用机器学习和神经网络技术自动化进行预后预测、治疗计划优化和患者随访教育等。有证据表明,AI指导可以显著降低泌尿系统肿瘤的诊断和治疗管理的主观性。尽管AI在泌尿系统肿瘤中的应用已经成为现代科技的热点,但对比真实世界的医疗决策时,AI仍然存在明显的局限性。通过对AI目前的优势和不足进行概述,旨在为未来AI在泌尿系统肿瘤的精准化、个性化诊治和长期管理中的应用提供参考。
中图分类号:
徐文浩, 田熙, 艾合太木江·安外尔, 瞿元元, 施国海, 张海梁, 叶定伟. 人工智能在泌尿系统肿瘤中的应用研究进展[J]. 中国癌症杂志, 2022, 32(1): 68-74.
XU Wenhao, TIAN Xi, Aihetaimujiang·Anwaier , QU Yuanyuan, SHI Guohai, ZHANG Hailiang, YE Dingwei. A systematic review of current advancements of artificial intelligence in genitourinary cancers[J]. China Oncology, 2022, 32(1): 68-74.
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