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Dambha-Miller H, Farmer A, Nirantharakumar K et al. Artificial Intelligence for Multiple Long-term conditions (AIM): A consensus statement from the NIHR AIM consortia [version 1; not peer reviewed]. NIHR Open Res 2023, 3:21
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(https://doi.org/10.3310/nihropenres.1115210.1)
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Strategy Document
Artificial Intelligence for Multiple Long-term conditions (AIM): A consensus statement from the NIHR AIM consortia
Hajira Dambha-Miller1,
Andrew Farmer2,
Krishnarajah Nirantharakumar3,
Thomas Jackson4,
Christopher Yau5,
Lauren Walker6,
Iain Buchan7,
Sarah Finer8,
Michael Robert Barnes9,
Nick J Reynolds10,
Gyuchan Thomas Jun11,
Satheesh Gangadharan12,
Simon Fraser13,
Bruce Guthrie14
Published 27 Apr 2023
(https://doi.org/10.3310/nihropenres.1115210.1)
Author Affiliations
1 Primary Care Research Centre, University of Southampton, Southampton, England, UK
2 Nuffield Dept of Primary Care Health Sciences, University of Oxford, Oxford, England, UK
3 Institute of Applied Health Research, University of Birmingham, Birmingham, England, UK
4 Institute of Inflammation and Ageing, University of Birmingham, Birmingham, England, UK
5 Nuffield Department for Women’s & Reproductive Health, University of Oxford, Oxford, England, UK
6 University of Liverpool, Liverpool, England, UK
7 Public Health, Policy and Systems, University of Liverpool, Liverpool, England, UK
8 Wolfson Institute of Population Health, Queen Mary University of London, London, England, UK
9 Centre for Translational Bioinformatics, Queen Mary University of London, London, England, UK
10 Department of Dermatology Newcastle Hospitals NHS Foundation Trust, Newcastle University, Newcastle upon Tyne, England, UK
11 School of Design and Creative Arts, Loughborough University, Loughborough, England, UK
12 Leicestershire Partnership NHS Trust, Leicester, England, UK
13 School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, England, UK
14 The University of Edinburgh, Edinburgh, Scotland, UK
2 Nuffield Dept of Primary Care Health Sciences, University of Oxford, Oxford, England, UK
3 Institute of Applied Health Research, University of Birmingham, Birmingham, England, UK
4 Institute of Inflammation and Ageing, University of Birmingham, Birmingham, England, UK
5 Nuffield Department for Women’s & Reproductive Health, University of Oxford, Oxford, England, UK
6 University of Liverpool, Liverpool, England, UK
7 Public Health, Policy and Systems, University of Liverpool, Liverpool, England, UK
8 Wolfson Institute of Population Health, Queen Mary University of London, London, England, UK
9 Centre for Translational Bioinformatics, Queen Mary University of London, London, England, UK
10 Department of Dermatology Newcastle Hospitals NHS Foundation Trust, Newcastle University, Newcastle upon Tyne, England, UK
11 School of Design and Creative Arts, Loughborough University, Loughborough, England, UK
12 Leicestershire Partnership NHS Trust, Leicester, England, UK
13 School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, England, UK
14 The University of Edinburgh, Edinburgh, Scotland, UK
Copyright © 2023 Dambha-Miller H et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How to cite this document:
Dambha-Miller H, Farmer A, Nirantharakumar K et al. Artificial Intelligence for Multiple Long-term conditions (AIM): A consensus statement from the NIHR AIM consortia [version 1; not peer reviewed]. NIHR Open Res 2023, 3:21
(document)
(https://doi.org/10.3310/nihropenres.1115210.1)
NOTE: it is important to ensure the information in square brackets after the title is included in this citation.
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Published 27 Apr 2023
Strategy Document
Artificial Intelligence for Multiple Long-term conditions (AIM): A consensus statement from the NIHR AIM consortia
[version 1; not peer reviewed]
Hajira Dambha-Miller1,
Andrew Farmer2,
Krishnarajah Nirantharakumar3,
Thomas Jackson4,
Christopher Yau5,
Lauren Walker6,
Iain Buchan7,
Sarah Finer8,
Michael Robert Barnes9,
Nick J Reynolds10,
Gyuchan Thomas Jun11,
Satheesh Gangadharan12,
Simon Fraser13,
Bruce Guthrie14
Author Affiliations
1 Primary Care Research Centre, University of Southampton, Southampton, England, UK
2 Nuffield Dept of Primary Care Health Sciences, University of Oxford, Oxford, England, UK
3 Institute of Applied Health Research, University of Birmingham, Birmingham, England, UK
4 Institute of Inflammation and Ageing, University of Birmingham, Birmingham, England, UK
5 Nuffield Department for Women’s & Reproductive Health, University of Oxford, Oxford, England, UK
6 University of Liverpool, Liverpool, England, UK
7 Public Health, Policy and Systems, University of Liverpool, Liverpool, England, UK
8 Wolfson Institute of Population Health, Queen Mary University of London, London, England, UK
9 Centre for Translational Bioinformatics, Queen Mary University of London, London, England, UK
10 Department of Dermatology Newcastle Hospitals NHS Foundation Trust, Newcastle University, Newcastle upon Tyne, England, UK
11 School of Design and Creative Arts, Loughborough University, Loughborough, England, UK
12 Leicestershire Partnership NHS Trust, Leicester, England, UK
13 School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, England, UK
14 The University of Edinburgh, Edinburgh, Scotland, UK
2 Nuffield Dept of Primary Care Health Sciences, University of Oxford, Oxford, England, UK
3 Institute of Applied Health Research, University of Birmingham, Birmingham, England, UK
4 Institute of Inflammation and Ageing, University of Birmingham, Birmingham, England, UK
5 Nuffield Department for Women’s & Reproductive Health, University of Oxford, Oxford, England, UK
6 University of Liverpool, Liverpool, England, UK
7 Public Health, Policy and Systems, University of Liverpool, Liverpool, England, UK
8 Wolfson Institute of Population Health, Queen Mary University of London, London, England, UK
9 Centre for Translational Bioinformatics, Queen Mary University of London, London, England, UK
10 Department of Dermatology Newcastle Hospitals NHS Foundation Trust, Newcastle University, Newcastle upon Tyne, England, UK
11 School of Design and Creative Arts, Loughborough University, Loughborough, England, UK
12 Leicestershire Partnership NHS Trust, Leicester, England, UK
13 School of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, England, UK
14 The University of Edinburgh, Edinburgh, Scotland, UK
Report
Award ID(s)
NIHR202632, NIHR 202637, NIHR203639, NIHR203981, NIHR203982, NIHR203986, NIHR203988, NIHR203981, EP/V023233/1
Competing Interests
Sarah Finer is the Deputy Lead of Genes & Health, a large research programme which receives support from multiple UKRI funders and and a Life Sciences partnership including Astra Zeneca PLC, Bristol-Myers Squibb Company, GlaxoSmithKline Research and Development Limited, Maze Therapeutics Inc, Merck Sharp & Dohme LLC, Novo Nordisk A/S, Pfizer Inc, Takeda Development Centre Americas Inc. Iain Buchan is Chief Data Scientist Advisor for AstraZeneca. Simon Fraser, as well as being a Public Health academic, works part time for the NIHR Evaluations Trials and Studies Coordinating Centre (NETSCC) as a Consultant in Public Health/Consultant Advisor.
Keywords
Big Data, Multimorbidity, Routine health records, Artificial Intelligence
Artificial Intelligence for Multiple Long-term... | Documents | NIHR Open Research
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