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Conference Paper: Integrating 2D radiographs and 1D clinical data in the AI prediction of adolescent idiopathic scoliosis progression

TitleIntegrating 2D radiographs and 1D clinical data in the AI prediction of adolescent idiopathic scoliosis progression
Authors
Meng, NCheung, JPYWong, KKYZhang, T
Issue Date2022
Citation
International Society for the Study of the Lumbar Spine (ISSLS) Annual Meeting 2022, Boston, USA, 9-13 May 2022 How to Cite?
DescriptionZoom - Oral Presentation - no. ZO10 (id#3338)
Persistent Identifierhttp://hdl.handle.net/10722/312916

 

DC FieldValueLanguage
dc.contributor.authorMeng, N-
dc.contributor.authorCheung, JPY-
dc.contributor.authorWong, KKY-
dc.contributor.authorZhang, T-
dc.date.accessioned2022-05-21T11:53:26Z-
dc.date.available2022-05-21T11:53:26Z-
dc.date.issued2022-
dc.identifier.citationInternational Society for the Study of the Lumbar Spine (ISSLS) Annual Meeting 2022, Boston, USA, 9-13 May 2022-
dc.identifier.urihttp://hdl.handle.net/10722/312916-
dc.descriptionZoom - Oral Presentation - no. ZO10 (id#3338)-
dc.languageeng-
dc.relation.ispartof48th ISSLS Annual Meeting, 2022-
dc.titleIntegrating 2D radiographs and 1D clinical data in the AI prediction of adolescent idiopathic scoliosis progression-
dc.typeConference_Paper-
dc.identifier.emailMeng, N: nanmeng@hku.hk-
dc.identifier.emailCheung, JPY: cheungjp@hku.hk-
dc.identifier.emailWong, KKY: kkywong@hku.hk-
dc.identifier.emailZhang, T: tgzhang@hku.hk-
dc.identifier.authorityCheung, JPY=rp01685-
dc.identifier.authorityWong, KKY=rp01392-
dc.identifier.authorityZhang, T=rp02821-
dc.identifier.hkuros333141-

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