Prof. Tiffany Y SO
MBBS (Melb), BMedSci (Melb), PGDipSurgAnat (Melb), MMed (Radiology), FRANZCR
Assistant Professor
Tel: +852 3505 1018


Tiffany So received her medical degree from the University of Melbourne, Australia and completed internship and basic training at the Royal Melbourne Hospital. She completed Radiology training at Alfred Health in Melbourne, training in diagnostic radiology with subspecialty training rotations in trauma imaging, neuroradiology, thoracic and lung transplant imaging and body imaging. Dr So is a Fellow of the Royal Australian and New Zealand College of Radiologists and a registered specialist in Diagnostic Radiology in Australia, New Zealand, and Hong Kong. She has a particular interest in neuroimaging including stroke and cerebrovascular imaging, multiple sclerosis and CNS demyelinating disease, imaging of brain inflammation and infection, imaging of traumatic head injury and head and neck imaging. Her research interests also include artificial intelligence (AI) and medical image analysis for image-based detection and diagnosis of disease, development of medical healthcare technologies, and AI in education. She has completed a Master of Medicine in Radiology, with her work focusing on traumatic injuries to the dural venous sinuses. 

In 2018, Dr So joined The Chinese University of Hong Kong. She is currently actively involved in undergraduate teaching and postgraduate radiology resident training. She is a diagnostic radiologist at the Department of Imaging and Interventional Radiology at the Prince of Wales Hospital, New Territories East Cluster involved in the Hospital Authority clinical service, and part of the neuroradiology team providing diagnostic neuroimaging services to patients at the New Territories East Cluster. 

Dr So is a member of the European Society of Radiology, Radiological Society of North America, The Australian and New Zealand Society of Neuroradiology, American Roentgen Ray Society, and The Medical Image Computing and Computer Assisted Intervention Society.

Teaching Profile

Current teaching profile includes undergraduate teaching (CUHK 4th and final year medical students), postgraduate radiology resident training (FRCR trainees), and visiting students from international institutions, in the form of lectures, small group and clinical tutorials, flipped classroom teaching, on the job teaching as well as informal tutorials. Dr So is a major contributor in curriculum design in the undergraduate radiology teaching program at CUHK, which incorporates both conventional deliveries and eLearning. Her recent teaching projects are focused on the incorporation of technology, artificial intelligence and game-based learning in education. These projects aim to develop innovative and readily accessible teaching materials to enhance teaching curriculums across several disciplines.

Dr So is actively involved in curriculum planning and the development of courseware material and assessments. She takes an interest in quality improvement in medical education and the techniques and approaches to maintain a quality teaching and student learning experience; in the past year attending several relevant workshops and seminars related to these areas.  She also supports collaborative work through actively engaging Students as Partners (SaP) in curriculum and educational material development, working together with other students and staff toward shared educational goals.

Recent Teaching Projects:

  • eLearning Modules for radiographic assessment of linesand tubes and their potential complications – Implementing artificial intelligence (AI) and game-based learning (Project Lead)

  • Interactive interdisciplinary learning of Nasogastric tube assessment (Project Lead) – project encompassing technology in education with implementation of AI deep learning models and game-based learning within an integrated mobile application (app) platform

    • Recipient of Educational Technology Innovation Gold award, Teaching and Learning Innovation Expo, CUHK 2022

    • Awarded best presentation at Tripartite Medical Education Conference – Actualising the Curriculum Continuum 2023

  • Curriculum development in Abdominal Ultrasound (Project Lead)

  • eLearning in Thoracic Imaging (2019)

Clinical Profile


  • Bachelor of Medicine, Bachelor of Surgery (MBBS) – The University of Melbourne
  • Bachelor of Medical Science (BMedSci) – The University of Melbourne
  • Postgraduate Diploma in Surgical Anatomy (PGDipSurgAnat) – The University of Melbourne
  • Master of Medicine (MMed Radiology) – The University of Melbourne
  • Fellowship of the Royal Australian and New Zealand College of Radiologists (FRANZCR)


Diagnostic Radiology

Dr So provides clinical radiology service in all areas of diagnostic radiology at the Prince of Wales Hospital. 

Specialty interests:

  • Neuroradiology
  • Stroke and cerebrovascular imaging
  • Multiple sclerosis and CNS demyelinating disease
  • Traumatic head injury
  • Head and neck imaging
  • Artificial intelligence

Research Profile

Dr So has an active interest in interdisciplinary research encompassing neuroimaging, medical artificial intelligence and computer-aided diagnosis.

Current Research:

Dr So has recently led and contributed to research projects in the following areas: Advanced MRI brain imaging including quantitative T1rho assessment of normal brain and demyelination in multiple sclerosis; Intravoxel incoherent motion (IVIM) imaging; evaluation of gadolinium- based contrast agent (Gd-CA) effects within brain imaging; MPF mapping in multiple sclerosis; machine learning and radiomics for brain tumour imaging; large-scale federated learning (FL) in glioma (led by UPenn, 71 centers worldwide), imaging of nasopharyngeal carcinoma including NPC nodal disease.

Recent Service:

  • Editorial board member – European Radiology (Neuro Section)
  • Program Chair, CLINICCAI, MICCAI 202225th International Conference on Medical Image Computing and Computer Assisted Intervention

Selected Publications

Recent publications:

    1. Intravoxel incoherent motion diffusion-weighted imaging for discrimination of benign and malignant retropharyngeal nodes. 
      So TY, Ai QY, Lam WJ, Qamar S, Poon DM, Hui EP, Mo FK, Chan KA, King AD. 
    2. Early Detection of Cancer: Evaluation of MR Imaging Grading Systems in Patients with Suspected Nasopharyngeal Carcinoma.
      King AD, Woo JK, Ai QY, Mo FK, So TY, Lam WK, Tse IO, Vlantis AC, Yip KW, Hui EP, Ma BB.
      American Journal of Neuroradiology. 2020;41(3):515-21.
    3. Early intra-treatment diffusion weighted magnetic resonance imaging in patients with recurrent nasopharyngeal carcinoma treated with nivolumab.
      So TY, Ai QY, Ma BYB, King AD
      International Journal of Otorhinolaryngology and Head and Neck Surgery. 2020; 6(3):568-573.
    4. Injury detection in traumatic death: postmortem computed tomography vs. open autopsy. 
      Wijetunga C, O’Donnell C, So TY,Varma D, Cameron P, Burke M, Bassed R, Smith K, Beck B. 
      Forensic Imaging. 2020;20:100349.
    5. Traumatic dural venous sinus gas predicts a higher likelihood of dural venous sinus thrombosis following blunt head trauma.
      So TY, Dixon AF, Kavnoudias H, Paul E, Maclaurin WA. 
      Journal of Medical Imaging and Radiation Oncology. 2019; 63: 311-317.