Thomas C 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 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 trained in neuroradiology at King’s College Hospital and the National Hospital for Neurology and Neurosurgery and completed his PhD at the University of Cambridge, where he investigated imaging biomarkers of brain-tumour treatment response and machine-learning approaches to MRI.

He leads a multidisciplinary research group of clinicians, data scientists and engineers translating AI from methodological development into prospective clinical evaluation.

Professor Booth was Chief Investigator of the £1 million MRC-funded MIDI study, largest UK neurology study, which evaluated AI-based brain MRI abnormality detection in more than 37,000 participants across 44 UK sites, and is Chief Investigator of the £5.7 million MRC TRIAGE programme, evaluating AI-assisted MRI triage in a multicentre clinical trial. His wider research includes AI-powered portable MRI, glioblastoma imaging and radiogenomics, and the development of AI-assisted and autonomous robotic systems for mechanical thrombectomy. This work has led to multiple publications and patent applications, including hierarchical multi-agent reinforcement learning approaches for endovascular navigation.

Professor Booth holds a number of national and international leadership roles:

• UK Neurointerventional Group Research Lead, where he leads a national research programme spanning all 27 UK interventional neuroradiology centres
• Royal College of Radiologists Clinical Radiology AI Faculty Lead
• Member of the European Association of Neuro-Oncology Scientific Committee
• UK representative within the international RANO AI group

He also co-leads imaging biomarker activity within the European Net4Brain COST Action. He holds NIHR imaging leadership roles and previously served on the NIHR Research for Patient Benefit committee and as Chair of the Radiological Research Trust.

His contributions to clinical and academic neuroradiology have been recognised by the inaugural Royal College of Radiologists Outstanding Researcher Award, the British Society of Neuroradiology 50th Anniversary Gold Medal, and National Clinical Excellence Awards. He is regularly invited to speak internationally on clinical AI, neuro-oncology and robotic neurointervention, including keynote lectures for the American Society of Neuroradiology and British Society of Neuroradiology.