Development and evaluation of an Artificial Intelligence-assisted Scoliosis Screening and Management System (AI-SSMS) for reducing unnecessary referrals and healthcare costs
Grant Data
Project Title
Development and evaluation of an Artificial Intelligence-assisted Scoliosis Screening and Management System (AI-SSMS) for reducing unnecessary referrals and healthcare costs
Principal Investigator
Professor Fong, Daniel Yee Tak
(Principal Investigator (PI))
Co-Investigator(s)
Professor Cheung Kenneth Man Chee
(Co-principal investigator)
Professor Shea Graham Ka Hon
(Co-principal investigator)
Professor Zhang Teng Grace
(Co-principal investigator)
Professor Cheung Jason Pui Yin
(Co-principal investigator)
Professor Kwan Kenny Yat Hong
(Co-Investigator)
Hung Alec Lik Hang
(Co-Investigator)
Professor Wu Yik Chung
(Co-principal investigator)
Professor Lam Tsz-ping
(Co-principal investigator)
Duration
36
Start Date
2023-07-05
Conference Title
Development and evaluation of an Artificial Intelligence-assisted Scoliosis Screening and Management System (AI-SSMS) for reducing unnecessary referrals and healthcare costs
Keywords
Artificial Intelligence, Children, Adolescents, Scoliosis, Machine Learning
Discipline
Nursing
HKU Project Code
20211701
Grant Type
Health and Medical Research Fund 2021
Funding Year
2022
Status
On-going
Objectives
To develop an Artificial Intelligence (AI)-assisted scoliosis screening and management system (AI-SSMS) for effective identification of children who will develop significant adolescent idiopathic scoliosis (AIS) or require treatment, and evaluate its accuracy and reduction in healthcare cost.