Programme(s) to which this project applies:
|☑ MPhil/PhD||☒ MRes[Med]||☑ URIS|
Medical imaging holds a wealth of data that can now be tapped using advanced quantitative analysis and leveraging artificial intelligence to aid diagnosis and prognostications. Area of research broadly covers the following:
Dr VV Vardhanabhuti, Department of Diagnostic Radiology
Dr Vardhanabhuti completed his medical degree at Guy's, King's and St Thomas' School of Medicine in London, UK in 2005. He had subsequent training in London, Oxford, Plymouth, Exeter, and completed his Radiology training at Imperial College London, UK whilst also completing a PhD during his residency.
He has active interests in data science, machine learning, and artificial intelligence while engaging with various research projects relating to medical imaging, with the goal of early clinical translation to benefits patients. He has wide-ranging projects in the AI space including the use of quantitative radiomics in cancer prognostication, using deep learning model as a tool for automatic segmentation and cancer detection, big data using electronic patient records, etc. More recently he has been engaged in several projects applying machine learning and artificial intelligence techniques in tackling the COVID-19 pandemic.
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