Revolutionizing adolescent idiopathic scoliosis screening with AlignProCARE: an artificial intelligence-driven mobile application for accurate and efficient detection

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Grant Data
Project Title
Revolutionizing adolescent idiopathic scoliosis screening with AlignProCARE: an artificial intelligence-driven mobile application for accurate and efficient detection
Principal Investigator
Professor Fong, Daniel Yee Tak   (Principal Investigator (PI))
Co-Investigator(s)
Professor Zhang Teng Grace   (Co-Investigator)
Mr Cheung Pui Yin   (Co-Investigator)
Professor Ip Patrick   (Co-Investigator)
Duration
36
Start Date
2024-07-09
Amount
1500000
Conference Title
Revolutionizing adolescent idiopathic scoliosis screening with AlignProCARE: an artificial intelligence-driven mobile application for accurate and efficient detection
Keywords
Artificial Intelligence , Children, Adolescents, Scoliosis
Discipline
Nursing
HKU Project Code
21222991
Grant Type
Health and Medical Research Fund 2022
Funding Year
2022
Status
On-going
Objectives
 To (1) enhance the multi-task machine learning model in AlignProCARE, a mobile app designed to detect significant adolescent idiopathic scoliosis (AIS), by increasing the representation of normal children during model training; (2) validate the detection accuracy of AlignProCARE in an independent sample; and (3) identify factors that may restrict its use.