This paper is in the following e-collection/theme issue:

Grant Proposals (funded, non-ehealth) (79) Surgery, Trauma and Surgical Sciences (202) Surgical Treatment Planning (19) Health Services Research (557) Artificial Intelligence (2124) Orthopedics (97) Clinical Information and Decision Making (1914) Decision Support for Health Professionals (1538)

Published on in Vol 11, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37092, first published .
Using Artificial Intelligence to Revolutionise the Patient Care Pathway in Hip and Knee Arthroplasty (ARCHERY): Protocol for the Development of a Clinical Prediction Model

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

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

Authors of this article:

Luke Farrow1, 2 Author Orcid Image ;   George Patrick Ashcroft1, 2 Author Orcid Image ;   Mingjun Zhong1 Author Orcid Image ;   Lesley Anderson1 Author Orcid Image
Article Authors Cited by (16) Tweetations (17) Metrics

Journals

  1. Jin X, Li D, Yang L, Han F, Jia P, Che H. Analysis of Risk Factors and Surgical Strategy of Knee Traumatic Arthritis after Internal Plate Fixation in the Treatment of Tibial Plateau Fracture. Computational and Mathematical Methods in Medicine 2022;2022:1 View
  2. . Research. Bone & Joint 360 2022;11(4):41 View
  3. Patel T, Coiado O. Challenges with patient management of osteoarthritis during the COVID-19 pandemic: review. Annals of Medicine & Surgery 2023;85(8):3925 View
  4. Marks R. Artificial Intelligence and Its Potential Application in Advancing Hip Osteoarthritis Care. Journal of Orthopaedic Science and Research 2023:1 View
  5. Kurmis A. A role for artificial intelligence applications inside and outside of the operating theatre: a review of contemporary use associated with total knee arthroplasty. Arthroplasty 2023;5(1) View
  6. O’Connor M. Equity360: Gender, Race, and Ethnicity—The Power of AI to Improve or Worsen Health Disparities. Clinical Orthopaedics & Related Research 2024;482(4):591 View
  7. Dhiman P, Ma J, Kirtley S, Mouka E, Waldron C, Whittle R, Collins G. Prediction model protocols indicate better adherence to recommended guidelines for study conduct and reporting. Journal of Clinical Epidemiology 2024;169:111287 View
  8. DeCook R, Muffly B, Mahmood S, Holland C, Ayeni A, Ast M, Bolognese M, Guild G, Sheth N, Pean C, Premkumar A. AI-Generated Graduate Medical Education Content for Total Joint Arthroplasty: Comparing ChatGPT Against Orthopaedic Fellows. Arthroplasty Today 2024;27:101412 View
  9. Farrow L, Zhong M, Anderson L. Use of natural language processing techniques to predict patient selection for total hip and knee arthroplasty from radiology reports. The Bone & Joint Journal 2024;106-B(7):688 View
  10. Georgiakakis E, Khan A, Logishetty K, Sarraf K. Artificial intelligence in planned orthopaedic care. SICOT-J 2024;10:49 View
  11. Kenig N, Monton Echeverria J, Muntaner Vives A. Artificial Intelligence in Surgery: A Systematic Review of Use and Validation. Journal of Clinical Medicine 2024;13(23):7108 View
  12. Farrow L, Anderson L, Zhong M. Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty: Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project. The Knee 2025;54:1 View
  13. Nurzynska K, Wodzinski M, Piórkowski A, Strzelecki M, Obuchowicz R, Kamiński P. Automated determination of hip arthrosis on the Kellgren–Lawrence scale in pelvic digital radiographs scans using machine learning. Computer Methods and Programs in Biomedicine 2025;266:108742 View
  14. Chen C, Shi J, Lee Y, Wei J. Outlook of Future AI‐Supported All‐Around Rheumatic Disease Management: An Example of Knee Osteoarthritis. International Journal of Rheumatic Diseases 2025;28(6) View
  15. Thanyakunsajja N, Jitkajornwanich K, Xu S, Shin D, Charoenporn P. Early Diagnosis of Knee Osteoarthritis With a Natural Language Processing–Driven Approach Based on Clinician Notes: Development and Validation Study. JMIR Formative Research 2025;9:e64536 View

Books/Policy Documents

  1. Tokgoz E, Levitt S, Sosa D, Carola N, Patel V. Total Knee Arthroplasty. View