Artificial Intelligence in Brain Tumour Surgery-An Emerging Paradigm

被引：38

作者：

Williams, Simon ^{[1
,2
]}

Layard Horsfall, Hugo ^{[1
,2
]}

Funnell, Jonathan P. ^{[1
,2
]}

Hanrahan, John G. ^{[1
,2
]}

Khan, Danyal Z. ^{[1
,2
]}

Muirhead, William ^{[1
,2
]}

Stoyanov, Danail ^{[2
]}

Marcus, Hani J. ^{[1
,2
]}

机构：

[1] Natl Hosp Neurol & Neurosurg, Dept Neurosurg, London WC1N 3BG, England

[2] Ctr Intervent & Surg Sci WEISS, Wellcome Engn & Phys Sci Res Council EPSRC, London W1W 7TY, England

来源：

CANCERS | 2021年 / 13卷 / 19期

基金：

英国工程与自然科学研究理事会; 英国惠康基金;

关键词：

artificial intelligence; AI; neurosurgery; brain tumour; machine learning; deep learning; surgery; oncology; CONVOLUTIONAL NEURAL-NETWORKS; QUANTITATIVE RADIOMICS APPROACH; COMPUTER-AIDED DETECTION; MACHINE LEARNING-METHODS; MR-IMAGES; AUTOMATIC SEGMENTATION; KEYHOLE NEUROSURGERY; PROTOCOL SELECTION; PRIMARY DIAGNOSIS; WORKFLOW ANALYSIS;

D O I：

10.3390/cancers13195010

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Artificial intelligence (AI) is the branch of computer science that enables machines to learn, reason, and problem solve. In recent decades, AI has been developed with the aim of improving the management of patients with brain tumours. This review article explores the role AI currently plays in managing patients undergoing brain tumour surgery, and explores how AI may impact this field in the future. Artificial intelligence (AI) platforms have the potential to cause a paradigm shift in brain tumour surgery. Brain tumour surgery augmented with AI can result in safer and more effective treatment. In this review article, we explore the current and future role of AI in patients undergoing brain tumour surgery, including aiding diagnosis, optimising the surgical plan, providing support during the operation, and better predicting the prognosis. Finally, we discuss barriers to the successful clinical implementation, the ethical concerns, and we provide our perspective on how the field could be advanced.

引用

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