Farrow, LukeAshcroft, George PatrickZhong, MingjunAnderson, Lesley2022-07-132022-07-132022-05-11Farrow, 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/10.2196/37092ORCID: /0000-0002-1000-3649/work/116105329ORCID: /0000-0002-1525-1270/work/116105548ORCID: /0000-0002-5374-624X/work/116105903ORCID: /0000-0002-1443-5908/work/156709594https://hdl.handle.net/2164/18857Acknowledgments 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.799705engarthritisarthroplastyartificial intelligencehealth carehipimagingkneemachine learningorthopedicspatient careprediction modellingR Medicine (General)General MedicineChief Scientist Office (CSO)CAF/21/06Supplementary DataR1Journal article10.2196/37092http://www.scopus.com/inward/record.url?scp=85130561866&partnerID=8YFLogxK115