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Article: A novel surgical planning system using an AI model to optimize planning of pedicle screw trajectories with highest bone mineral density and strongest pull-out force

TitleA novel surgical planning system using an AI model to optimize planning of pedicle screw trajectories with highest bone mineral density and strongest pull-out force
Authors
Issue Date2022
PublisherJNS.
Citation
Neurosurgical Focus, 2022, v. 52, p. E10 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/317422
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMa, C-
dc.contributor.authorZou, D-
dc.contributor.authorQi, H-
dc.contributor.authorLi, C-
dc.contributor.authorZHANG, C-
dc.contributor.authorYANG, K-
dc.contributor.authorZhu, FA-
dc.contributor.authorLi, W-
dc.contributor.authorLu, WW-
dc.date.accessioned2022-10-07T10:20:13Z-
dc.date.available2022-10-07T10:20:13Z-
dc.date.issued2022-
dc.identifier.citationNeurosurgical Focus, 2022, v. 52, p. E10-
dc.identifier.urihttp://hdl.handle.net/10722/317422-
dc.languageeng-
dc.publisherJNS. -
dc.relation.ispartofNeurosurgical Focus-
dc.titleA novel surgical planning system using an AI model to optimize planning of pedicle screw trajectories with highest bone mineral density and strongest pull-out force-
dc.typeArticle-
dc.identifier.emailMa, C: cmma@hku.hk-
dc.identifier.emailZhu, FA: aaronzhu@hku.hk-
dc.identifier.emailLu, WW: wwlu@hku.hk-
dc.identifier.authorityZhu, FA=rp02301-
dc.identifier.authorityLu, WW=rp00411-
dc.identifier.doi10.3171/2022.1.FOCUS21721-
dc.identifier.hkuros337584-
dc.identifier.volume52-
dc.identifier.spageE10-
dc.identifier.epageE10-
dc.identifier.isiWOS:000781081800005-

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