About
Dr Vigneswaran is currently Associate Professor in Interventional Radiology and Medical Artificial Intelligence at the University of Southampton, alongside his role as Consultant Interventional Radiologist at University Hospitals Dorset (UHD). He previously completed an NIHR Clinical Lectureship in Interventional Radiology, where his research focused on the application of machine learning and clinical decision support systems in oesophageal cancer within Professor Tim Underwood’s laboratory at the Department of Cancer Sciences, University of Southampton.
His wider academic work spans artificial intelligence, interventional oncology, image-guided therapies, and translational clinical research. He has led and collaborated on multiple national and international research projects exploring predictive modelling, radiomics, trustworthy AI, and outcome prediction in cancer and interventional radiology. He is actively involved in interdisciplinary collaborations between clinicians, engineers, and data scientists to support the safe integration of AI into healthcare.
Dr Vigneswaran has published extensively in peer-reviewed journals and presented his work at numerous national and international scientific meetings. His research has attracted competitive funding from organisations including the Academy of Medical Sciences, NIHR, and Wessex Health Innovation. He maintains active interests in academic leadership, collaborative research networks, and the development of future AI-enabled technologies within interventional radiology and cancer care.
Research
Research groups
Current research
My current research focuses on the development and clinical implementation of artificial intelligence and machine learning within interventional radiology, oncology, and cancer imaging.
Current areas of research include:
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Machine learning and clinical decision support systems in oesophageal cancer imaging, treatment selection, and survival prediction
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Trustworthy and explainable AI models for multimodal cancer prediction and personalised treatment strategies
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Machine learning in interventional oncology, including metastatic uveal melanoma treated with melphalan percutaneous hepatic perfusion (M-PHP)
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Radiomics, imaging biomarkers, and outcome prediction in image-guided therapies
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Artificial intelligence applications within interventional radiology workflows and procedural planning, in particular Prostate Artery Embolisation
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Prospective and translational clinical research integrating imaging, clinical, and molecular datasets
I have developed strong interdisciplinary collaborations across the University of Southampton, including partnerships with the School of Electronics and Computer Science (ECS), biomedical engineers, data scientists, oncologists, and clinical researchers to support the safe and clinically relevant integration of AI technologies into healthcare.
Research projects
Completed projects
Publications
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Teaching
I have a strong passion for teaching and medical education, with active roles in undergraduate, postgraduate, and academic supervision across radiology and interventional radiology.
My teaching and educational roles include:
- Academic Training Lead for Radiology - University of Southampton
- Co-Lead for Undergraduate Radiology Teaching (Y1-2), University of Southampton
- Supervisor for PhD, MD, MSc, and BSc student research projects
- Supervisor for NHS AI Fellows and junior trainee research projects
- SEIA (South East Imaging Academy) Research Tutorials for Wessex Radiology Trainees.
- Postgraduate Radiology Teaching, Wessex Deanery and University Hospital Southampton (2017–present)
- Radiology and Anatomy Teaching Project Facilitator, Centre for Learning Anatomical Sciences, University of Southampton
Biography
Dr Ganesh Vigneswaran qualified in Medicine from Imperial College London, graduating with several distinctions and prizes. He completed an intercalated first-class honours degree in Anatomy and Neuroscience at University College London (UCL), where his undergraduate research focused on the neurophysiology of hand motor function, earning him a place on the Dean’s List for outstanding academic achievement.
He was subsequently awarded the prestigious UCL 100 Grand Challenge PhD Studentship and completed an intercalated PhD at the UCL Institute of Neurology, Queen Square, under the supervision of Professor Roger Lemon. His research explored mirror neurons and hand motor function.
Following this, he undertook an Academic Foundation Programme at the Royal Free Hospital, London, before commencing Radiology training in the Wessex Deanery in 2018 and subspecialty Interventional Radiology training in 2020. He has since completed an NIHR Clinical Lectureship in Interventional Radiology.
Dr Vigneswaran is currently an Associate Professor in Interventional Radiology and Medical Artificial Intelligence at the University of Southampton, alongside his role as a Consultant Interventional Radiologist at University Hospitals Dorset (UHD). His academic interests focus on the integration of artificial intelligence, machine learning, and data-driven decision support systems within interventional radiology, surgery and cancer care.
Prizes
- Corza Medical, 1st Prize Senior Oral Presentation Category - Roux Group Annual Meeting (2023)
- BASO Ronald Raven Proffered Prize (2023)
- Young Investigator Award - Surgical Research Society (2023)
- Norman Williams Prize for Best Clinical Paper (2024)
- Honourable Mention Award at the TAS Symposium 2023: TAME Pain: Trustworthy AssessMEnt of Pain from speech and audio for the empowerment of patients (2023)