A multi-center prospective validation of ‘SpineNets’ virtual spinal evaluation platform enabling non-contact AI auto-diagnosis and follow-up of spine malalignment

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Grant Data
Project Title
A multi-center prospective validation of ‘SpineNets’ virtual spinal evaluation platform enabling non-contact AI auto-diagnosis and follow-up of spine malalignment
Principal Investigator
Professor Zhang, Teng Grace   (Principal Investigator (PI))
Co-Investigator(s)
Professor Fang Christian Xinshuo   (Co-principal investigator)
Professor Cheung Jason Pui Yin   (Co-principal investigator)
Professor Wong Siu Him Janus   (Co-principal investigator)
Professor Shea Graham Ka Hon   (Co-principal investigator)
Professor Wong Tak Man   (Co-principal investigator)
Professor Wong Kenneth Kwan Yee   (Co-principal investigator)
Duration
24
Start Date
2023-03-01
Conference Title
A multi-center prospective validation of ‘SpineNets’ virtual spinal evaluation platform enabling non-contact AI auto-diagnosis and follow-up of spine malalignment
Keywords
Auto-diagnosis, Telemedicine, Spine malalignment, Computer vision, Detection algorithms
Discipline
Orthopaedics/Traumatology
HKU Project Code
19200911
Grant Type
Health and Medical Research Fund - Full Grant
Funding Year
2022
Status
On-going
Objectives
To establish SpineNets (formed by our deep learning models) as a platform for auto-alignment analyses and radiation-free malalignment progression follow-up.