About Dr James Wang
Consultant Clinical Oncologist - Neuro-oncology & Uro-oncology
Practicing at Mount Vernon Cancer Centre and Lister Hospital.
I am a Consultant Clinical Oncologist specialising in neuro-oncology and uro-oncology, practising at Mount Vernon Cancer Centre and Lister Hospital. My clinical work focuses on brain tumours and urological cancers — areas where subspecialty expertise makes a material difference to the quality of advice and treatment patients receive.
My background is unusual in that I hold a PhD in Computer Vision from Imperial College London alongside my clinical training, and I serve as Clinical Digital Lead at Mount Vernon Cancer Centre. This is not incidental to my clinical practice, it directly shapes how I approach radiotherapy planning, treatment assessment, and the careful adoption of validated technology to improve care. I sit on the Royal College of Radiologists National AI Committee and am an organiser and speaker at annual the RCR Global AI Conferences.
If you have received a diagnosis and are seeking specialist input, or if you are a colleague looking to discuss a referral, I would encourage you to get in touch.
Clinical Background and Training
Dr Wang originally graduated from Imperial College London in 2010 and is currently a Consultant Clinical Oncologist at Mount Vernon Cancer Centre, where he practices neuro-oncology, and at Lister Hospital, where he practices uro-oncology.
Alongside his clinical roles, he serves as Clinical Digital Lead and Clinical Safety Officer at Mount Vernon, and leads the AI Special Interest Group.
Prior to his current post, Dr Wang was Consultant in Molecular Radiotherapy and Uro-Oncology at University College London Hospital and the Whittington Hospital, where he was Clinical Lead for the implementation of AI radiotherapy solutions. He trained across the major London cancer centres including the Royal Free Hospital, University College London Hospital, Mount Vernon Hospital, and St Bartholomew's Hospital, with a period as Clinical Stereotactic Research Fellow at Charing Cross Hospital.
Dr Wang returned to Imperial College London to complete his AI PhD, where his doctoral research focused on automated quality control of muscle segmentation in MRI for sarcopenia screening using transfer learning and reverse classifier accuracy. His academic work sits at the intersection of machine learning, medical imaging, and clinical oncology — he has published in Clinical Oncology, BMJ Open, Radiotherapy and Oncology, the European Journal of Nuclear Medicine, and the Journal of Cachexia, Sarcopenia and Muscle, and contributed a book chapter to the Springer Handbook of Artificial Intelligence in Healthcare.
Qualifications
Bachelor of Medicine and Surgery (Imperial College London, Merit Award: Surgery, 2010)
BSc Management (Tanaka Business School, Imperial College London, 2008)
Member of the Royal College of Physicians (Royal College of Physicians, 2014)
Fellow of the Royal College of Radiologists (Royal College of Radiologists, 2017)
PhD — Computer Vision (Imperial College London, 2026)
PG Diploma — Oncology (Institute of Cancer Research, 2020)
Clinical Digital Lead
As Clinical Digital Lead at Mount Vernon Cancer Centre, Dr Wang leads all digital activities at the site, including the ongoing implementation of the Orbis-U electronic patient record system. He sits on the Royal College of Radiologists National AI Committee for Clinical Oncology, co-organised the RCR Global AI Conference in February 2025, and is a Professional Expert for NICE on AI technologies for prostate cancer detection on MRI. His published work on AI in oncology spans auto-contouring, sarcopenia biomarkers, clinical registries, and the legal implications of AI in cancer MDTs.
PhD and Digital Work
Dr Wang holds a PhD in Computer Vision from Imperial College London, where his research developed machine learning methods for automated quality assurance of medical image segmentation tasks. This technical foundation directly informs his clinical practice — particularly in radiotherapy planning, treatment response assessment, and the careful evaluation of AI tools before clinical adoption.
Registrations
GMC Full Registration
GMC Number: 7088384
ORCID: 0000-0002-1530-1055
Specialist Register: Clinical Oncology
Medical Defence: MDU Indemnified