Artificial intelligence: innovation to assist in the identification of sono-anatomy for ultrasound-guided regional anaesthesia

James Lloyd; Robert Morse; Alasdair Taylor; David Phillips; Helen Higham; David Burckett-St Laurent; James Simeon Bowness

doi:10.1007/978-3-030-87779-8_6

Artificial intelligence: innovation to assist in the identification of sono-anatomy for ultrasound-guided regional anaesthesia

James Lloyd, Robert Morse, Alasdair Taylor, David Phillips, Helen Higham, David Burckett-St Laurent, James Simeon Bowness

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Biomedical visualisation
Editors	Paul Rea
Place of Publication	Cham
Publisher	Springer
Chapter	6
Pages	117-140
Number of pages	24
Volume	11
ISBN (Electronic)	9783030877798
ISBN (Print)	9783030877781, 9783030877811
DOIs	https://doi.org/10.1007/978-3-030-87779-8_6
Publication status	Published - 12 Feb 2022

Publication series

Name	Advances in experimental medicine and biology
Volume	1356
ISSN (Print)	0065-2598
ISSN (Electronic)	2214-8019

Keywords

Artificial intelligence
Convolutional neural network
Machine learning
Regional anaesthesia
Ultrasound
Sono-anatomy

Access to Document

10.1007/978-3-030-87779-8_6

Cite this

Lloyd, J., Morse, R., Taylor, A., Phillips, D., Higham, H., Burckett-St Laurent, D., & Bowness, J. S. (2022). Artificial intelligence: innovation to assist in the identification of sono-anatomy for ultrasound-guided regional anaesthesia. In P. Rea (Ed.), Biomedical visualisation (Vol. 11, pp. 117-140). (Advances in experimental medicine and biology; Vol. 1356). Springer. https://doi.org/10.1007/978-3-030-87779-8_6

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title = "Artificial intelligence: innovation to assist in the identification of sono-anatomy for ultrasound-guided regional anaesthesia",

keywords = "Artificial intelligence, Convolutional neural network, Machine learning, Regional anaesthesia, Ultrasound, Sono-anatomy",

author = "James Lloyd and Robert Morse and Alasdair Taylor and David Phillips and Helen Higham and \{Burckett-St Laurent\}, David and Bowness, \{James Simeon\}",

year = "2022",

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language = "English",

isbn = "9783030877781",

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Lloyd, J, Morse, R, Taylor, A, Phillips, D, Higham, H, Burckett-St Laurent, D & Bowness, JS 2022, Artificial intelligence: innovation to assist in the identification of sono-anatomy for ultrasound-guided regional anaesthesia. in P Rea (ed.), Biomedical visualisation. vol. 11, Advances in experimental medicine and biology, vol. 1356, Springer, Cham, pp. 117-140. https://doi.org/10.1007/978-3-030-87779-8_6

Artificial intelligence: innovation to assist in the identification of sono-anatomy for ultrasound-guided regional anaesthesia. / Lloyd, James; Morse, Robert; Taylor, Alasdair et al.
Biomedical visualisation. ed. / Paul Rea. Vol. 11 Cham: Springer, 2022. p. 117-140 (Advances in experimental medicine and biology; Vol. 1356).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

TY - CHAP

T1 - Artificial intelligence

T2 - innovation to assist in the identification of sono-anatomy for ultrasound-guided regional anaesthesia

AU - Lloyd, James

AU - Morse, Robert

AU - Taylor, Alasdair

AU - Phillips, David

AU - Higham, Helen

AU - Burckett-St Laurent, David

AU - Bowness, James Simeon

PY - 2022/2/12

Y1 - 2022/2/12

KW - Artificial intelligence

KW - Convolutional neural network

KW - Machine learning

KW - Regional anaesthesia

KW - Ultrasound

KW - Sono-anatomy

UR - https://doi.org/10.1007/978-3-030-87779-8

UR - https://discover.libraryhub.jisc.ac.uk/search?isn=9783030877781&rn=1

UR - https://www.scopus.com/pages/publications/85124446038

U2 - 10.1007/978-3-030-87779-8_6

DO - 10.1007/978-3-030-87779-8_6

M3 - Chapter

SN - 9783030877781

SN - 9783030877811

VL - 11

T3 - Advances in experimental medicine and biology

SP - 117

EP - 140

BT - Biomedical visualisation

A2 - Rea, Paul

PB - Springer

CY - Cham

ER -

Lloyd J, Morse R, Taylor A, Phillips D, Higham H, Burckett-St Laurent D et al. Artificial intelligence: innovation to assist in the identification of sono-anatomy for ultrasound-guided regional anaesthesia. In Rea P, editor, Biomedical visualisation. Vol. 11. Cham: Springer. 2022. p. 117-140. (Advances in experimental medicine and biology). Epub 2022 Feb 11. doi: 10.1007/978-3-030-87779-8_6

Artificial intelligence: innovation to assist in the identification of sono-anatomy for ultrasound-guided regional anaesthesia

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