SLaM Image Bank is an exceptionally rich real world cohort with linked MRI and clinical data reflecting the diversity of the population of South London that provides a unique platform for testing automated decision support tools that may identify unique signatures of diagnosis and neuropsychiatric symptom subtype, markers of prognosis, and provide stratification for interventions or trials that are potentially clinically meaningful.
Principal Investigator
Steering Committee
Prof Dag Aarsland (Old Age Psychiatry)
Prof Rob Stewart (Clinical Informatics)
Prof Steve Williams (Neuroimaging)
Linked publications
Venkataraman AV, Wright P, Jewell A, et al. SLaM Image Bank: a real-world diverse London cohort linking brain MRI with electronic mental health and dementia records for AI-enabled clinical decision support. medRxiv 2025.
Reilly, T.J., Butler, M., Abdelsamie, A., Awatli, I., Barai, S., Baxter, L., Boardman-Pretty, T., Phelps, R., Waqar, A., Jewell, A., Blackman, G., Oliver, D., Venkataraman, A.V., Kempton, M.J. and McGuire, P. (2025), Prevalence of clinically significant radiological abnormalities in people with first episode psychosis. World Psychiatry, 24: 445-446.
Mayers AJ, Roberts A, Venkataraman AV, Booth C, Stewart R. Dementia-related volumetric assessments in neuroradiology reports: a natural language processing-based study. BMJ Open. 2025
Reilly TJ, Butler M, Abdelsamie A, Awatli I, Barai S, Baxter L, Boardman-Pretty T, Phelps R, Waqar A, Jewell A, Blackman G, Oliver D, Venkataraman AV, Kempton MJ, McGuire P. Prevalence of clinically significant radiological abnormalities in people with first episode psychosis. World Psychiatry. October 2025
Belessiotis-Richards C, Livingston G, Venkataraman A et al. A protocol for a cohort study investigating clinical and radiological features of normal pressure hydrocephalus in South London memory services. Wellcome Open Res 2025
Laurell AAS*, Venkataraman AV*, Schmidt T, Montagnese M, Mueller C, Stewart R, Lewis J, Mundell C, Isaacs JD, Krishnan MS, Barber R, Rittman T, Underwood BR. Estimating Demand for Potential Disease modifying Therapies for Alzheimer’s Disease in the UK. BJPsych 2024 (*joint first)
Venkataraman, A. V., Marshall, C. & Rittman, T. Automated brain image analysis in dementia using artificial intelligence: a roadmap for the development of clinical tools. Available at: osf.io/myuq7. OSF Preprint. 2023
Funders
National Institute for Health Research (NIHR) as NIHR Clinical Lecturer (AV), NIHR Maudsley Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London (NQOD-04) (AV)