Join us to celebrate a special milestone for one of our new professors and hear about their inspiring career journey. Doors for this event will open at 16.45, with the lecture to commence at 17.00. A drinks reception will be held immediately after the lecture.

Registration closes at 12am on the Sunday before the lecture as King’s Venues require a list of all attendees, particularly those external to King’s 48 hours in advance of the event.

If you are a member of staff wishing to attend after registration has closed, please just email communicationsunit@kcl.ac.uk to let us know.

Professor Thomas Booth

Guns, Brains, AI and Robots: A Life at the Frontiers

Abstract

In this inaugural lecture at King’s College London, Professor Thomas Booth will reflect on the experiences, people and opportunities that have shaped his career in neuroradiology. He will explore advances in diagnostic neuroradiology alongside blue-sky research seeking to transform the treatment of stroke. Drawing on work spanning AI, brain tumour imaging and endovascular robotics, he will describe the journey from early methodological development and laboratory experimentation to prospective multicentre studies and clinical translation.

The lecture will highlight research in brain MRI interpretation and the development of robotic systems for mechanical thrombectomy, including autonomous and remotely delivered intervention. He will also consider the importance of multidisciplinary collaboration, clinical need and scientific curiosity in driving innovation, reflecting on the challenges, unexpected opportunities and formative experiences that have shaped his research career.

Biography

Thomas Booth is Professor of Neuroradiology in the School of Biomedical Engineering & Imaging Sciences at King’s College London, and an Honorary Consultant Diagnostic and Interventional Neuroradiologist at King’s College Hospital.

His PhD was at the University of Cambridge where he first learnt about AI before the days of deep learning. His research sits at the interface of clinical neuroradiology, artificial intelligence and robotics, with three principal areas of interest:

• AI-assisted brain abnormality detection
• AI-assisted endovascular robotics
• AI in neuro-oncology

He has led multiple UK multicentre studies including the largest neurology study in the UK which recruited 37,000 prospective patients. At the Royal College of Radiologists, he received the Outstanding Researcher Award, and now is Faculty Lead for AI. He is also Research Lead for the UK interventional neuroradiology community.