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Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties
10
Zitationen
13
Autoren
2025
Jahr
Abstract
DL algorithms can enhance neurosurgical practice by improving surgical workflows, real-time monitoring, diagnostic accuracy, outcome prediction, volumetric assessment, and neurosurgical education. However, their integration into neurosurgical practice involves challenges and limitations. Future studies should focus on refining DL models with a wide variety of datasets, developing effective implementation techniques, and assessing their affect on time and cost efficiency.
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