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Using Artificial Intelligence to Revolutionise the Patient Care Pathway in Hip and Knee Arthroplasty (ARCHERY) : Protocol for the Development of a Clinical Prediction Model

dc.contributor.authorFarrow, Luke
dc.contributor.authorAshcroft, George Patrick
dc.contributor.authorZhong, Mingjun
dc.contributor.authorAnderson, Lesley
dc.date.accessioned2022-07-13T13:43:01Z
dc.date.available2022-07-13T13:43:01Z
dc.date.issued2022-05-11
dc.identifier217873834
dc.identifiere9b077ff-6d15-40ac-b2fc-1e87d6c21178
dc.identifier85130561866
dc.identifier.citationFarrow , L , Ashcroft , G P , Zhong , M & Anderson , L 2022 , ' Using Artificial Intelligence to Revolutionise the Patient Care Pathway in Hip and Knee Arthroplasty (ARCHERY) : Protocol for the Development of a Clinical Prediction Model ' , JMIR Research Protocols , vol. 11 , no. 5 , e37092 . https://doi.org/10.2196/37092en
dc.identifier.otherORCID: /0000-0002-1000-3649/work/116105329
dc.identifier.otherORCID: /0000-0002-1525-1270/work/116105548
dc.identifier.otherORCID: /0000-0002-5374-624X/work/116105903
dc.identifier.urihttps://hdl.handle.net/2164/18857
dc.descriptionAcknowledgments The study was funded by the Chief Scientist Office Scotland as part of a Clinical Research Fellowship that runs from August 2021 to August 2024 (CAF/21/06). LF is the grant holder and LA is the chief investigator. The authors are grateful for the input of Jenny Gregory (University of Aberdeen), Greig Nicol (NHS Grampian), Dominic Meek (Glasgow University and NHS Greater Glasgow and Clyde), and Diane Smith (patient partner) in the development of the study protocol. Funding Information: Results: The study was funded by the Chief Scientist Office Scotland as part of a Clinical Research Fellowship that runs from August 2021 to August 2024. Approval from the North Node Privacy Advisory Committee was confirmed on October 13, 2021. Data collection started in May 2022, with the results expected to be published in the first quarter of 2024. ISRCTN registration has been completed.en
dc.format.extent7
dc.format.extent99705
dc.language.isoeng
dc.relation.ispartofJMIR Research Protocolsen
dc.subjectarthritisen
dc.subjectarthroplastyen
dc.subjectartificial intelligenceen
dc.subjecthealth careen
dc.subjecthipen
dc.subjectimagingen
dc.subjectkneeen
dc.subjectmachine learningen
dc.subjectorthopedicsen
dc.subjectpatient careen
dc.subjectprediction modellingen
dc.subjectR Medicine (General)en
dc.subjectGeneral Medicineen
dc.subjectChief Scientist Office (CSO)en
dc.subjectCAF/21/06en
dc.subjectSupplementary Dataen
dc.subject.lccR1en
dc.titleUsing Artificial Intelligence to Revolutionise the Patient Care Pathway in Hip and Knee Arthroplasty (ARCHERY) : Protocol for the Development of a Clinical Prediction Modelen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Institute of Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Arthritis and Musculoskeletal Health (ACAMH)en
dc.contributor.institutionUniversity of Aberdeen.Medical Educationen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Machine Learningen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.description.statusPeer revieweden
dc.identifier.doi10.2196/37092
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85130561866&partnerID=8YFLogxKen


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