The State of Machine Learning in Outcomes Prediction of Transsphenoidal Surgery: A Systematic Review.

Yang DB, Smith AD, Smith EJ, Naik A, Janbahan M, Thompson CM, Varshney LR, Hassaneen W

DOI: 10.1055/a-1941-3618
Published: 2023 Dec
Container: Journal of neurological surgery. Part B, Skull base
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1055/a-1941-3618,
  title = {The State of Machine Learning in Outcomes Prediction of Transsphenoidal Surgery: A Systematic Review.},
  author = {Yang DB and Smith AD and Smith EJ and Naik A and Janbahan M and Thompson CM and Varshney LR and Hassaneen W},
  year = {2023},
  journal = {Journal of neurological surgery. Part B, Skull base},
  doi = {10.1055/a-1941-3618},
  url = {https://doi.org/10.1055/a-1941-3618}
}

RIS

TY  - JOUR
TI  - The State of Machine Learning in Outcomes Prediction of Transsphenoidal Surgery: A Systematic Review.
AU  - Yang DB
AU  - Smith AD
AU  - Smith EJ
AU  - Naik A
AU  - Janbahan M
AU  - Thompson CM
AU  - Varshney LR
AU  - Hassaneen W
PY  - 2023
JO  - Journal of neurological surgery. Part B, Skull base
DO  - 10.1055/a-1941-3618
UR  - https://doi.org/10.1055/a-1941-3618
ER  -

APA

DB, Y., AD, S., EJ, S., A, N., M, J., CM, T., LR, V., & W, H. (2023). The State of Machine Learning in Outcomes Prediction of Transsphenoidal Surgery: A Systematic Review.. Journal of neurological surgery. Part B, Skull base. https://doi.org/10.1055/a-1941-3618

Source records

pubmed · retrieved 2026-09-25T06:37:44.211Z