The Scottish Medical Imaging Archive: 57.3 million Radiology Studies Linked to their Medical Records

Rob  Baxter; Thomas Nind; James Sutherland; Gordon  McAllister; Douglas  Hardy; Ally  Hume; Ruairidh  MacLeod; Jacqueline Caldwell; Susan Krueger; Leandro  Tramma; Ross Teviotdale; Kenny Gillen; Donald  Scobie; Ian Bailie; Andrew  Brooks; Bianca  Prodan; William  Kerr; Dominic  Sloan-Murphy; Juan F. R. Herrera; Edwin J. R. van Beek; Parminder Singh Reel; Smarti Reel; Esma Mansouri-Benssassi; Roy  Mudie; Douglas Steele; Alex Doney; Emanuele Trucco; Carole Morris; Robert  Wallace; Andrew Morris; Mark  Parsons; Emily Jefferson

doi:10.1148/ryai.220266

The Scottish Medical Imaging Archive: 57.3 million Radiology Studies Linked to their Medical Records

Rob Baxter, Thomas Nind, James Sutherland, Gordon McAllister, Douglas Hardy, Ally Hume, Ruairidh MacLeod, Jacqueline Caldwell, Susan Krueger, Leandro Tramma, Ross Teviotdale, Kenny Gillen, Donald Scobie, Ian Bailie, Andrew Brooks, Bianca Prodan, William Kerr, Dominic Sloan-Murphy, Juan F. R. Herrera, Edwin J. R. van BeekParminder Singh Reel, Smarti Reel, Esma Mansouri-Benssassi, Roy Mudie, Douglas Steele, Alex Doney, Emanuele Trucco, Carole Morris, Robert Wallace, Andrew Morris, Mark Parsons, Emily Jefferson (Lead / Corresponding author)

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

129 Downloads (Pure)

Abstract

The Scottish Medical Imaging Archive is a collection of population-based, medical radiology images from real patient records for use in healthcare research and the development or validation of artificial intelligence algorithms within the Scottish National Safe Haven. The images are linkable to other routinely collected electronic healthcare records.

Original language	English
Article number	e220266
Number of pages	6
Journal	Radiology: Artificial Intelligence
Volume	6
Issue number	1
Early online date	27 Sept 2023
DOIs	https://doi.org/10.1148/ryai.220266
Publication status	Published - Jan 2024

Keywords

MRI
Imaging Sequences
Ultrasound
Mammography
CT
Angiography
Conventional Radiography

Access to Document

10.1148/ryai.220266Licence: CC BY

Final Published VersionFinal published version, 584 KBLicence: CC BY

MICA: InterdisciPlInary Collaboration for EfficienT and Effective Use of Clinical Images in Big Data Health Care RESearch: PICTURES (Programme Grant) (Joint with Universities of Edinburgh and Abertay)
Doney, A. (Investigator), Jefferson, E. (Investigator), Palmer, C. (Investigator), Steele, D. (Investigator), Trucco, M. (Investigator) & Wang, H. (Investigator)
Medical Research Council
1/08/19 → 28/02/25
Project: Research

Health Informatics Centre
Health and Clinical Services
Facility/equipment: Facility

Cite this

Baxter, R., Nind, T., Sutherland, J., McAllister, G., Hardy, D., Hume, A., MacLeod, R., Caldwell, J., Krueger, S., Tramma, L., Teviotdale, R., Gillen, K., Scobie, D., Bailie, I., Brooks, A., Prodan, B., Kerr, W., Sloan-Murphy, D., Herrera, J. F. R., ... Jefferson, E. (2024). The Scottish Medical Imaging Archive: 57.3 million Radiology Studies Linked to their Medical Records. Radiology: Artificial Intelligence, 6(1), Article e220266. https://doi.org/10.1148/ryai.220266

@article{d25557c4d46140249cf1767bebacc78e,

title = "The Scottish Medical Imaging Archive: 57.3 million Radiology Studies Linked to their Medical Records",

abstract = "The Scottish Medical Imaging Archive is a collection of population-based, medical radiology images from real patient records for use in healthcare research and the development or validation of artificial intelligence algorithms within the Scottish National Safe Haven. The images are linkable to other routinely collected electronic healthcare records.",

keywords = "MRI, Imaging Sequences, Ultrasound, Mammography, CT, Angiography, Conventional Radiography",

author = "Rob Baxter and Thomas Nind and James Sutherland and Gordon McAllister and Douglas Hardy and Ally Hume and Ruairidh MacLeod and Jacqueline Caldwell and Susan Krueger and Leandro Tramma and Ross Teviotdale and Kenny Gillen and Donald Scobie and Ian Bailie and Andrew Brooks and Bianca Prodan and William Kerr and Dominic Sloan-Murphy and Herrera, {Juan F. R.} and {van Beek}, {Edwin J. R.} and Reel, {Parminder Singh} and Smarti Reel and Esma Mansouri-Benssassi and Roy Mudie and Douglas Steele and Alex Doney and Emanuele Trucco and Carole Morris and Robert Wallace and Andrew Morris and Mark Parsons and Emily Jefferson",

note = "Copyright: {\textcopyright} the Author(s) 2023.",

year = "2024",

month = jan,

doi = "10.1148/ryai.220266",

language = "English",

volume = "6",

number = "1",

}

Baxter, R, Nind, T, Sutherland, J, McAllister, G, Hardy, D, Hume, A, MacLeod, R, Caldwell, J, Krueger, S, Tramma, L, Teviotdale, R , Gillen, K, Scobie, D, Bailie, I, Brooks, A, Prodan, B, Kerr, W, Sloan-Murphy, D, Herrera, JFR, van Beek, EJR, Reel, PS , Reel, S, Mansouri-Benssassi, E, Mudie, R, Steele, D , Doney, A , Trucco, E, Morris, C, Wallace, R, Morris, A, Parsons, M & Jefferson, E 2024, 'The Scottish Medical Imaging Archive: 57.3 million Radiology Studies Linked to their Medical Records', Radiology: Artificial Intelligence, vol. 6, no. 1, e220266. https://doi.org/10.1148/ryai.220266

TY - JOUR

T1 - The Scottish Medical Imaging Archive

T2 - 57.3 million Radiology Studies Linked to their Medical Records

AU - Baxter, Rob

AU - Nind, Thomas

AU - Sutherland, James

AU - McAllister, Gordon

AU - Hardy, Douglas

AU - Hume, Ally

AU - MacLeod, Ruairidh

AU - Caldwell, Jacqueline

AU - Krueger, Susan

AU - Tramma, Leandro

AU - Teviotdale, Ross

AU - Gillen, Kenny

AU - Scobie, Donald

AU - Bailie, Ian

AU - Brooks, Andrew

AU - Prodan, Bianca

AU - Kerr, William

AU - Sloan-Murphy, Dominic

AU - Herrera, Juan F. R.

AU - van Beek, Edwin J. R.

AU - Reel, Parminder Singh

AU - Reel, Smarti

AU - Mansouri-Benssassi, Esma

AU - Mudie, Roy

AU - Steele, Douglas

AU - Doney, Alex

AU - Trucco, Emanuele

AU - Morris, Carole

AU - Wallace, Robert

AU - Morris, Andrew

AU - Parsons, Mark

AU - Jefferson, Emily

PY - 2024/1

Y1 - 2024/1

N2 - The Scottish Medical Imaging Archive is a collection of population-based, medical radiology images from real patient records for use in healthcare research and the development or validation of artificial intelligence algorithms within the Scottish National Safe Haven. The images are linkable to other routinely collected electronic healthcare records.

AB - The Scottish Medical Imaging Archive is a collection of population-based, medical radiology images from real patient records for use in healthcare research and the development or validation of artificial intelligence algorithms within the Scottish National Safe Haven. The images are linkable to other routinely collected electronic healthcare records.

KW - MRI

KW - Imaging Sequences

KW - Ultrasound

KW - Mammography

KW - CT

KW - Angiography

KW - Conventional Radiography

U2 - 10.1148/ryai.220266

DO - 10.1148/ryai.220266

M3 - Article

C2 - 38166330

SN - 2638-6100

VL - 6

JO - Radiology: Artificial Intelligence

JF - Radiology: Artificial Intelligence

IS - 1

M1 - e220266

ER -

The Scottish Medical Imaging Archive: 57.3 million Radiology Studies Linked to their Medical Records

Abstract

Keywords

Access to Document

Fingerprint

Projects

MICA: InterdisciPlInary Collaboration for EfficienT and Effective Use of Clinical Images in Big Data Health Care RESearch: PICTURES (Programme Grant) (Joint with Universities of Edinburgh and Abertay)

Equipment

Health Informatics Centre

Cite this