Neurosurgical skills analysis by machine learning models: systematic review
Author:
Publisher
Springer Science and Business Media LLC
Subject
Neurology (clinical),General Medicine,Surgery
Link
https://link.springer.com/content/pdf/10.1007/s10143-023-02028-x.pdf
Reference42 articles.
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3. Manjul S, Bettag M, Roy TS, Lalwani SAT (2016) Simulation based skills training in neurosurgery and contemporary surgical practices. Ann Natl Acad Med Sci 52:56–75. https://doi.org/10.1055/s-0040-1712607
4. Aghazadeh MA, Jayaratna IS, Hung AJ, Pan MM, Desai MM, Gill IS, Goh AC (2015) External validation of Global Evaluative Assessment of Robotic Skills (GEARS). Surg Endosc 29:3261–3266. https://doi.org/10.1007/s00464-015-4070-8
5. Liu M, Purohit S, Mazanetz J, Allen W, Kreaden US, Curet M (2018) Assessment of Robotic Console Skills (ARCS): construct validity of a novel global rating scale for technical skills in robotically assisted surgery. Surg Endosc 32:526–535. https://doi.org/10.1007/s00464-017-5694-7
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