- Email: firstname.lastname@example.org
- Thesis title: AI Integrated Treatment Planning and Real-time Guidance for Ultrasound Guided High Intensity Focused Ultrasound (USgHIFU) Cancer Ablation
- Supervisors: Dr James McLaughlan, Dr James Chandler, Dr Tze Min Wah
I am a Postgraduate Research Student at the UKRI Centre for Doctoral Training (CDT) in Artificial Intelligence for Medical Diagnosis and Care at the University of Leeds where I have studied since 2021.
Prior to moving to Leeds, I completed a master’s degree in Natural Sciences at the University of Exeter, specialising in deep learning and its application to high-throughput cell screening. It was during this time that I developed my interest in the applications of Artificial Intelligence (AI) and computer vision to the medical domain.
My research focuses on the development of therapeutic devices for Head and Neck cancers, using AI to improve treatment planning and real-time guidance of High Intensity Focused Ultrasound (HIFU) therapy.
HIFU is a non-ionizing and non-invasive technique which could provide a safer alternative to radiotherapy, with fewer side effects for patients. Combining advances in computer vision with co-robotic guidance will improve cost-effective cancer treatments such as HIFU, which could have significant impacts on the healthcare sector.
- MSci Natural Sciences, University of Exeter