Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties

Kivanc Yangi; Jinpyo Hong; Arianna S. Gholami; Thomas J. On; Alexander G. Reed; Pravarakhya Puppalla; Jiuxu Chen; Carlos E. Calderon Valero; Yuan Xu; Baoxin Li; Marco Santello; Michael T. Lawton; Mark C. Preul

doi:10.3389/fneur.2025.1532398

Back

Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties

Journal article

Open access

Peer reviewed

Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties

Kivanc Yangi, Jinpyo Hong, Arianna S. Gholami, Thomas J. On, Alexander G. Reed, Pravarakhya Puppalla, Jiuxu Chen, Carlos E. Calderon Valero, Yuan Xu, Baoxin Li, …

Frontiers in neurology, Vol.16

04/16/2025

DOI: https://doi.org/10.3389/fneur.2025.1532398

Files and links (1)

url

https://doi.org/10.3389/fneur.2025.1532398View

Published (Version of record) Open

Metrics

1 Record Views

See more details

Details

Title: Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties
Creators: Kivanc Yangi
Jinpyo Hong
Arianna S. Gholami
Thomas J. On
Alexander G. Reed
Pravarakhya Puppalla
Jiuxu Chen
Carlos E. Calderon Valero
Yuan Xu
Baoxin Li
Marco Santello
Michael T. Lawton
Mark C. Preul
Publication Details: Frontiers in neurology, Vol.16
Identifiers: 991006160700202656
Academic Unit: Neurological Surgery; Surgery
Language: English
Resource Type: Journal article