A large dataset of brain imaging linked to health systems data: curation and access to a whole system national cohort from NHS Scotland

Michael P J Camilleri

doi:10.1093/gigascience/giag072

A large dataset of brain imaging linked to health systems data: curation and access to a whole system national cohort from NHS Scotland

2026-06-09

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OA

AI

M

Michael P J Camilleri

D

Dorian Gouzou

S

Salim Al-Wasity

M

Muthu R K Mookiah

M

María Valdes Hernandez

B

Bea Alex

S

Sotirios A Tsaftaris

A

Andrew Brooks

R

Ruairidh MacLeod

H

Honghan Wu

B

Brenda Bauer

C

Claire Grover

P

Parminder Reel

S

Susan Krueger

R

Richard Tobin

J

J Douglas Steele

G

Grant Mair

J

Joanna Wardlaw

A

Alexander Doney

E

Emanuele Trucco

W

William Whiteley *

DOI：10.1093/gigascience/giag072

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Abstract

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We present the design and implementation of a data curation framework to generate a large-scale clinical brain imaging dataset suitable for artificial intelligence (AI) enabled image analysis. The dataset is accessible through the Brain Health Data (BHD) initiative, which includes approximately 417,341 magnetic resonance imaging (MRI) and 846,077 computerized tomography (CT) head studies, linked electronic health records (EHRs), and associated free-text imaging reports from clinical practice between 2010 and 2018 in Scotland, exceeding 185 TB in size. The data curation framework was developed during the SCottish AI in Neuroimaging to predict Dementia and Neurodegenerative Disease (SCANDAN) study, which used a subset of 41,966 MRI series from the BHD for dementia prediction.

A large dataset of brain imaging linked to health systems data: curation and access to a whole system national cohort from NHS Scotland

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