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Artificial Intelligence in Neurosurgery: a Systematic Review Using Topic Modeling. Part I: Major Research Areas
35
Zitationen
7
Autoren
2020
Jahr
Abstract
was to conduct a systematic literature review and identify the main areas of AI applications in neurosurgery. METHODS: Using the PubMed search engine, we found and analyzed 327 original articles published in 1996-2019. The key words specific to each topic were identified using topic modeling algorithms LDA and ARTM, which are part of the AI-based natural language processing. RESULTS: Five main areas of neurosurgery, in which research into AI methods are underway, have been identified: neuro-oncology, functional neurosurgery, vascular neurosurgery, spinal neurosurgery, and surgery of traumatic brain injury. Specifics of these studies are characterized. CONCLUSION: The information presented in this review can be instrumental in planning new research projects in neurosurgery.
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