Ethical implications of AI in robotic surgical training: A Delphi consensus statement

Collins, JW, Marcus, HJ, Ghazi, A et al. (26 more authors) (2021) Ethical implications of AI in robotic surgical training: A Delphi consensus statement. European Urology Focus. ISSN 2405-4569

Abstract

Metadata

Authors/Creators:
  • Collins, JW
  • Marcus, HJ
  • Ghazi, A
  • Sridhar, A
  • Hashimoto, D
  • Hager, G
  • Arezzo, A
  • Jannin, P
  • Maier-Hein, L
  • Marz, K
  • Valdastri, P ORCID logo https://orcid.org/0000-0002-2280-5438
  • Mori, K
  • Elson, D
  • Giannarou, S
  • Slack, M
  • Hares, L
  • Beaulieu, Y
  • Levy, J
  • Laplante, G
  • Ramadorai, A
  • Jarc, A
  • Andrews, B
  • Garcia, P
  • Neemuchwala, H
  • Andrusaite, A
  • Kimpe, T
  • Hawkes, D
  • Kelly, JD
  • Stoyanov, D
Copyright, Publisher and Additional Information: © 2021 European Association of Urology. Published by Elsevier B.V. All rights reserved. This is an author produced version of an article published in European Urology Focus. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Artificial intelligence; machine learning; narrow AI; GDPR; data protection; privacy; transparency; predictive analytics; biases; training; curriculum development; surgical education; Deep learning; Computer vision; Natural language processing; Learning algorithms; risk prediction
Dates:
  • Published (online): 30 April 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds)
Funding Information:
FunderGrant number
Royal Societywm150122
Depositing User: Symplectic Publications
Date Deposited: 21 May 2021 14:14
Last Modified: 21 May 2021 14:14
Status: Published online
Publisher: Elsevier
Identification Number: https://doi.org/10.1016/j.euf.2021.04.006
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