Consensus on the use of artificial intelligence in the management and measurement of vestibular schwannomas: A protocol for a modified delphi consensus.

Lee KS, Connor S, Wijethilake N, Vercauteren T, Obholzer R, Chia K, Kunst H, Tysome J, Thomas N, Shapey J

Open source

DOI
10.1007/s00234-026-04063-z
Published
2026 Jul
Container
Neuroradiology
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.1007/s00234-026-04063-z,
  title = {Consensus on the use of artificial intelligence in the management and measurement of vestibular schwannomas: A protocol for a modified delphi consensus.},
  author = {Lee KS and Connor S and Wijethilake N and Vercauteren T and Obholzer R and Chia K and Kunst H and Tysome J and Thomas N and Shapey J},
  year = {2026},
  journal = {Neuroradiology},
  doi = {10.1007/s00234-026-04063-z},
  url = {https://doi.org/10.1007/s00234-026-04063-z}
}

RIS

TY  - JOUR
TI  - Consensus on the use of artificial intelligence in the management and measurement of vestibular schwannomas: A protocol for a modified delphi consensus.
AU  - Lee KS
AU  - Connor S
AU  - Wijethilake N
AU  - Vercauteren T
AU  - Obholzer R
AU  - Chia K
AU  - Kunst H
AU  - Tysome J
AU  - Thomas N
AU  - Shapey J
PY  - 2026
JO  - Neuroradiology
DO  - 10.1007/s00234-026-04063-z
UR  - https://doi.org/10.1007/s00234-026-04063-z
ER  - 

APA

KS, L., S, C., N, W., T, V., R, O., K, C., H, K., J, T., N, T., & J, S. (2026). Consensus on the use of artificial intelligence in the management and measurement of vestibular schwannomas: A protocol for a modified delphi consensus.. Neuroradiology. https://doi.org/10.1007/s00234-026-04063-z

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