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Thomas  Booth

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

    Neuro-oncology experts reveal how to use AI to improve brain cancer diagnosis, monitoring, treatment

    Recommendations published in The Lancet Oncology call for good clinical practice of new technologies to modernise decades-old standard of care for brain...

    AI brain (1)

    Dr Thomas Booth appointed as AI Faculty Lead for the Royal College of Radiologists

    Dr Thomas Booth has been appointed as Faculty Lead for Clinical Radiology Artificial Intelligence (CRAI) for the Royal College of Radiologists.

    Thomas booth

    King's researchers awarded funding to develop remote surgical robotics

    Researchers from King’s College London have received £75,000 in funding from the new MRC Impact Accelerator Fund to further investigate the use of artificial...

    Man standing in front of scientific demo

    Robotics and AI combination has potential to improve safety in emergency stroke surgeries

    A new paper by King’s researchers highlights how the use of robots to treat stroke patients autonomously could widen access to time-sensitive emergency...

    IJCARS Paper banner

    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

    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

    Events

    23MayAI healthcare

    AI assisted tools for healthcare

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

    Please note: this event has passed.

      News

      Neuro-oncology experts reveal how to use AI to improve brain cancer diagnosis, monitoring, treatment

      Recommendations published in The Lancet Oncology call for good clinical practice of new technologies to modernise decades-old standard of care for brain...

      AI brain (1)

      Dr Thomas Booth appointed as AI Faculty Lead for the Royal College of Radiologists

      Dr Thomas Booth has been appointed as Faculty Lead for Clinical Radiology Artificial Intelligence (CRAI) for the Royal College of Radiologists.

      Thomas booth

      King's researchers awarded funding to develop remote surgical robotics

      Researchers from King’s College London have received £75,000 in funding from the new MRC Impact Accelerator Fund to further investigate the use of artificial...

      Man standing in front of scientific demo

      Robotics and AI combination has potential to improve safety in emergency stroke surgeries

      A new paper by King’s researchers highlights how the use of robots to treat stroke patients autonomously could widen access to time-sensitive emergency...

      IJCARS Paper banner

      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

      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

      Events

      23MayAI healthcare

      AI assisted tools for healthcare

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

      Please note: this event has passed.