Research Projects
Intelligent Orthopaedics facilitated by machine learning and novel sensing technologies

Programme(s) to which this project applies:

☑ MPhil/PhD ☒ MRes[Med] ☑ URIS

Aim and Significance

The aim of the project is to develop the next generation of system and devices that will revolutionize the current orthopaedics practice covering screening, diagnosis, non-srugical and surgical treatments, with auto-analysis and optimised treatment management planning. The intelligent orthopaedics platform formed by this project can be have significant clinical impact, providing accurate and fast clinical assessments, improve safety and efficacy, as well as provide continuous tracking.

Research Plan and Methodology

Research methods involved in this project would ranking from model development, data management, embedded system, real-time sensing, clinical testing and validation. Predefined parameters for each step are decided inline with the clinical gold standard. The platform can be transferable to other clinical expertise in the future.

Details of mini-projects under the intelligent orthopaedics platform can be found here:

Dr T Zhang, Department of Orthopaedics and Traumatology

Dr Teng Grace Zhang, Digital Health Laboratory, Department of Orthopaedics and Traumatology, Faculty of Medicine The supervisor if a biomedical engineer with medical background, so the project is in collaborative with computer science department, mechanical engineering department, Queen Mary Hospital and Duchess of Kent Hospital.

HKU Scholars Hub

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:

  1. your CV,
  2. a brief description of your research interest and experience, and
  3. two reference letters (not required for HKUMed UG students seeking MRes[Med]/URIS projects).

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

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.