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Programme(s) to which this project applies: |
| ☑ MPhil/PhD | ☒ MRes[Med] | ☑ URIS |
About the Project
Artificial Intelligence is increasingly recognized for its applications in clinical environments. Our group is working on predicting the risk of brain necrosis following proton therapy in order to stratify patients effectively. This approach could offer valuable insights to clinicians for stratifying patients by risk levels and delivering optimal treatment.
In this project, we aim to incorporate multi-modal clinical information to enhance the robustness of the AI model. Furthermore, we plan to extend the multi-modal AI to the diagnosis stage, supporting early cancer detection in order to facilitate timely treatment.
About the Supervisor
Professor H Lee, Department of Diagnostic Radiology
Professor Hoyeon Lee is an Assistant Professor in the Department of Diagnostic Radiology and Centre of Cancer Medicine. His research interests include the computational modeling of medical devices and AI applications for medical imaging and cancer treatment.
Next Step?
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:
- your CV,
- a brief description of your research interest and experience, and
- 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 rpgmed@hku.hk.
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.
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