Programme(s) to which this project applies:
|☑ MPhil/PhD||☒ MRes[Med]||☒ URIS|
The topic of mass screening for AIS remains controversial among clinicians, healthcare professionals, and policymakers around the world. There remain concerns about potential radiographic hazards and anxiety in children unnecessarily referred for X-ray diagnosis or clinical follow-ups. As well as issues surrounding screening accuracy, mass screening for AIS can consume substantial resources.
To respond to the aforementioned needs, we propose the development of an artificial intelligence-assisted scoliosis screening and management system (AI-SSMS) that can be integrated into the current health services system for AIS.
For more information or to express interest for this project, please email the supervisor or the specified contact point in the project description. Interested candidates are advised to enclose with your email:
Information on the research programme, funding support and admission documentations could be referenced online at the Research Postgraduate Admissions website. General admission enquiries should be directed to email@example.com.
HKUMed MBBS students interested in the Master of Research in Medicine (MRes[Med]) programme may visit the programme website for more information.
HKUMed UG students interested in the Undergraduate Research Internship Scheme (URIS) may visit the scheme’s website for more information.