Artificial intelligence in brain tumour surgery-an emerging paradigm.

File(s)

cancers-13-05010-v3.pdf (4.67 MB)

Published version

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Author(s)

Williams, Simon

Layard Horsfall, Hugo

Funnell, Jonathan P

Hanrahan, John G

Khan, Danyal Z

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Type

Journal Article

Abstract

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.

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Date Issued

2021-10-07

Date Acceptance

2021-10-03

Citation

Cancers (Basel), 2021, 13 (19), pp.1-25

URI

http://hdl.handle.net/10044/1/92197

URL

https://www.mdpi.com/2072-6694/13/19/5010

DOI

https://www.dx.doi.org/10.3390/cancers13195010

ISSN

2072-6694

Publisher

MDPI

Start Page

1

End Page

25

Journal / Book Title

Cancers (Basel)

Volume

13

Issue

19

Copyright Statement

© 2021 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

License URL

http://creativecommons.org/licenses/by/4.0/

Identifier

https://www.ncbi.nlm.nih.gov/pubmed/34638495

PII: cancers13195010

Subjects

AI

artificial intelligence

brain tumour

deep learning

machine learning

neurosurgery

oncology

surgery

Publication Status

Published

Coverage Spatial

Switzerland

Date Publish Online

2021-10-07