Research Projects
Artificial Intelligence in Chronic Liver Disease


Programme(s) to which this project applies:
☑ MPhil/PhD ☒ MRes[Med] ☒ URIS

Artificial intelligence is expected to bring about drastic improvements to medical and health care. This project aims at developing in-house deep learning artificial intelligence algorithms to improve diagnostic and prognostic capabilities in chronic liver diseases, including the use of computed tomography and magnetic resonance imaging and associated serum markers for different liver diseases, including viral hepatitis, cirrhosis and liver cancer.  This project involves multiple research and medical centres in our locality and has collected large amounts of clinical and imaging data for artificial intelligence processing, and has the latest graphic processing units required in place or machine learning or deep learning. Our interdisciplinary research team includes clinicians, radiologists, pathologists and engineers. Through the integration of clinical, radiological and pathological data, an important goal is to establish artificial intelligence methods in delivering precision and personalized medicine to improving outcomes in chronic liver disease.

Professor WWK Seto, Department of Medicine

Prof. Wai-Kay Seto graduated from the University of Hong Kong in 2003 and received his Fellowship in Gastroenterology and Hepatology in 2010 from the Hong Kong College of Physicians. He received his Doctor of Medicine from the University of Hong Kong in 2012. He is currently the Simon KY Lee Professor in Gastroenterology in the Department of Medicine, and Principal Investigator of the State Key Laboratory of Liver Disease, the University of Hong Kong, Hong Kong. He is also the Chair of Division and Chief Physician in Gastroenterology of the University of Hong Kong-Shenzhen Hospital, Shenzhen, China; and Assistant Dean (Interdisciplinary Collaboration, Research Sub-Deanery), LKS Faculty of Medicine, The University of Hong Kong

 

Biography
HKU Scholars Hub
wkseto@hku.hk

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 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. 

Research @ Department of Medicine