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Dr Thomas Booth

Reader in Neuroimaging

Research interests

  • Cancer
  • Neuroscience

Biography

Thomas C Booth is a Reader in Neuroimaging in the School of Biomedical Engineering & Imaging Sciences at King’s College London. He is also an Honorary Consultant Diagnostic and Interventional Neuroradiologist at King’s College Hospital, London. His research interests are in (1) neuro-oncology (especially relating to diagnostic AI), (2) neurovascular (robotics) and (3) abnormality detection (especially relating to diagnostic AI). His PhD focus was on brain tumour treatment response assessment using pre-clinical metabolic imaging as well as adult brain tumour MRI structural images using machine learning at the University of Cambridge a decade ago – something he continues to research now as he is reminded continuously how important neuro-oncology diagnostics are in a busy London teaching hospital. On the neurovascular side, stroke imaging and aneurysm procedural work have also become areas of much research and he is developing robotics with his multidisciplinary colleagues.

He is the Chief Investigator on 5 UK multicentre and 4 NIHR portfolio-adopted prospective studies: more than 6000 patients across the UK have been recruited to these studies. His largest study relates to abnormality detection in brain MRI scans using AI.

He chairs or sits on various National and International committees - some relating to funding (e.g. NIHR) and some special interest groups (e.g. relating to brain tumours). He was an awardee of the inaugural Royal College of Radiologists Outstanding Researcher Award.

    News

    Researchers review use of MRI to identify brain cancer biomarkers

    King’s researchers reviewed the benefits of medical imaging to predict cancer patients’ response to treatments.

    MRI Brain Biomarkers

    New study identifies promising tool for rapid COVID-19 triage

    A study conducted by researchers from King's College London, along with researchers from multiple healthcare centres across the UK, has identified the utility...

    Rapid Covid News

    Brain-age prediction tool developed to support early diagnoses of neurological disease

    Researchers from King’s College London have developed a deep learning framework for brain-age prediction using MRI data.

    brain age

    AI can predict brain cancer patients' survival

    Artificial Intelligence (AI) can predict whether adult patients with brain cancer will survive more than eight months after receiving radiotherapy treatment.

    futuristic ai generated image of the human brain

    New review explores role of AI in autonomous navigation of endovascular interventions

    Researchers from King’s College London have comprehensively analysed the use of Artificial Intelligence applied to surgeries involving endovascular...

    blood vessel surgery

    Study confirms safety of new flow-diverting stent in the treatment of brain aneurysms

    Researchers conduct first study on new Pipeline Vantage Embolization Device used to prevent blood flow into brain aneurysms.

    Red Blood Cells

    Dr Thomas Booth Awarded Neuroradiologist of the Year

    Dr Thomas Booth has received the Neuroradiologist of the Year Award at the 2023 Radiology Awards.

    Headshot of Thomas Booth in a shirt and tie, smiling

    New study finds device-mimicking controller best approach for neuroradiology procedures

    Researchers from the School of Biomedical Engineering & Imaging Sciences, King’s College London, have found that a device-mimicking robotic controller is...

    woman in lab coat and office setting wearing VR headset and holding controllers

    Study finds insufficient evidence to recommend AI for abnormality detection

    A King’s College study has found the use of Artificial Intelligence (AI) detection models is only adequate as a tool to improve radiologist efficiency rather...

    AI abnormality image

    Poor evidence currently for studies using machine learning algorithms to determine effectiveness of glioblastoma treatment, study suggests

    Glioblastoma is the most common primary malignant brain tumour with a median overall survival within 1.5 years

    brain imaging

    Events

    23MayAI healthcare

    AI assisted tools for healthcare

    Explore the opportunities and challenges posed by AI assisted tools for healthcare.

      News

      Researchers review use of MRI to identify brain cancer biomarkers

      King’s researchers reviewed the benefits of medical imaging to predict cancer patients’ response to treatments.

      MRI Brain Biomarkers

      New study identifies promising tool for rapid COVID-19 triage

      A study conducted by researchers from King's College London, along with researchers from multiple healthcare centres across the UK, has identified the utility...

      Rapid Covid News

      Brain-age prediction tool developed to support early diagnoses of neurological disease

      Researchers from King’s College London have developed a deep learning framework for brain-age prediction using MRI data.

      brain age

      AI can predict brain cancer patients' survival

      Artificial Intelligence (AI) can predict whether adult patients with brain cancer will survive more than eight months after receiving radiotherapy treatment.

      futuristic ai generated image of the human brain

      New review explores role of AI in autonomous navigation of endovascular interventions

      Researchers from King’s College London have comprehensively analysed the use of Artificial Intelligence applied to surgeries involving endovascular...

      blood vessel surgery

      Study confirms safety of new flow-diverting stent in the treatment of brain aneurysms

      Researchers conduct first study on new Pipeline Vantage Embolization Device used to prevent blood flow into brain aneurysms.

      Red Blood Cells

      Dr Thomas Booth Awarded Neuroradiologist of the Year

      Dr Thomas Booth has received the Neuroradiologist of the Year Award at the 2023 Radiology Awards.

      Headshot of Thomas Booth in a shirt and tie, smiling

      New study finds device-mimicking controller best approach for neuroradiology procedures

      Researchers from the School of Biomedical Engineering & Imaging Sciences, King’s College London, have found that a device-mimicking robotic controller is...

      woman in lab coat and office setting wearing VR headset and holding controllers

      Study finds insufficient evidence to recommend AI for abnormality detection

      A King’s College study has found the use of Artificial Intelligence (AI) detection models is only adequate as a tool to improve radiologist efficiency rather...

      AI abnormality image

      Poor evidence currently for studies using machine learning algorithms to determine effectiveness of glioblastoma treatment, study suggests

      Glioblastoma is the most common primary malignant brain tumour with a median overall survival within 1.5 years

      brain imaging

      Events

      23MayAI healthcare

      AI assisted tools for healthcare

      Explore the opportunities and challenges posed by AI assisted tools for healthcare.