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Artificial intelligence-enhanced intraoperative neurosurgical workflow: current knowledge and future perspectives |
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| | Leonardo TARICIOTTI, Paolo PALMISCIANO, Martina GIORDANO, Giulia REMOLI, Eleonora LACORTE, Giulio BERTANI, Marco LOCATELLI, Francesco DIMECO, Valerio M. CACCAVELLA, Francesco PRADA | | | Journal of Neurosurgical Sciences. 2022; 66(2) | | | [Pubmed] [Google Scholar] [DOI] | | | 2 |
Artificial Intelligence and Computer Vision in Low Back Pain: A Systematic Review |
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| | Federico D’Antoni, Fabrizio Russo, Luca Ambrosio, Luca Vollero, Gianluca Vadalà, Mario Merone, Rocco Papalia, Vincenzo Denaro | | | International Journal of Environmental Research and Public Health. 2021; 18(20): 10909 | | | [Pubmed] [Google Scholar] [DOI] | | | 3 |
Autonomous lumbar spine pedicle screw planning using machine learning: A validation study |
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| | KrisB Siemionow, CraigW Forsthoefel, MichaelP Foy, Dominik Gawel, ChristianJ Luciano | | | Journal of Craniovertebral Junction and Spine. 2021; 12(3): 223 | | | [Pubmed] [Google Scholar] [DOI] | | | 4 |
Current Applications of Machine Learning in Spine: From Clinical View |
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| | GuanRui Ren, Kun Yu, ZhiYang Xie, PeiYang Wang, Wei Zhang, Yong Huang, YunTao Wang, XiaoTao Wu | | | Global Spine Journal. 2021; : 2192568221 | | | [Pubmed] [Google Scholar] [DOI] | |
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