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Artificial intelligence in the surgical management of arteriovenous malformations.

作者信息

Wanjari Mayur, Mittal Gaurav, Prasad Roshan

机构信息

Department of Research and Development, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education & Research, Wardha, India.

Department of Medicine, Mahatma Gandhi Institute of Medical Sciences, Wardha, India.

出版信息

Neurosurg Rev. 2024 Sep 19;47(1):639. doi: 10.1007/s10143-024-02886-z.

DOI:10.1007/s10143-024-02886-z
PMID:39294339
Abstract
摘要

相似文献

1
Artificial intelligence in the surgical management of arteriovenous malformations.人工智能在动静脉畸形手术治疗中的应用
Neurosurg Rev. 2024 Sep 19;47(1):639. doi: 10.1007/s10143-024-02886-z.
2
The role of radiosurgery for infratentorial arteriovenous malformations.立体定向放射外科治疗幕下动静脉畸形的作用。
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Surgical strategies for cerebellar arteriovenous malformations.小脑动静脉畸形的手术策略
World Neurosurg. 2015 Jan;83(1):49-50. doi: 10.1016/j.wneu.2013.08.033. Epub 2013 Sep 2.
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[Fundamental surgical techniques for cerebral arteriovenous malformations].[脑动静脉畸形的基本外科技术]
No Shinkei Geka. 2006 Dec;34(12):1207-14.
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Microsurgery versus radiosurgery as the definitive intervention for Spetzler-Martin grade III arteriovenous malformations.
Clin Neurol Neurosurg. 2015 Jun;133:103-4. doi: 10.1016/j.clineuro.2015.03.021. Epub 2015 Apr 4.
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Endovascular management of arteriovenous malformations and other intracranial arteriovenous shunts in neonates, infants, and children.新生儿、婴儿和儿童动静脉畸形及其他颅内动静脉分流的血管内治疗。
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Neurosurgery at the crossroads: integrated multidisciplinary management of 449 patients with brain arteriovenous malformations.神经外科处于十字路口：449例脑动静脉畸形患者的综合多学科管理
Clin Neurosurg. 2005;52:177-91.
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Supratentorial arteriovenous malformations.幕上动静脉畸形
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Microsurgical treatment of a premotor arteriovenous malformation: 3-dimensional illustration.运动前区动静脉畸形的显微外科治疗：三维图示
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本文引用的文献

1
The current landscape of machine learning-based radiomics in arteriovenous malformations: a systematic review and radiomics quality score assessment.基于机器学习的动静脉畸形放射组学的现状：系统评价与放射组学质量评分评估
Front Neurol. 2024 Jun 10;15:1398876. doi: 10.3389/fneur.2024.1398876. eCollection 2024.
2
Attitudes of the Surgical Team Toward Artificial Intelligence in Neurosurgery: International 2-Stage Cross-Sectional Survey.神经外科手术团队对人工智能的态度：国际两阶段横断面调查
World Neurosurg. 2021 Feb;146:e724-e730. doi: 10.1016/j.wneu.2020.10.171. Epub 2020 Nov 25.
3
Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous Malformations.
使用机器学习方法预测脑动静脉畸形放射外科治疗后的结果。
Sci Rep. 2016 Feb 9;6:21161. doi: 10.1038/srep21161.