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

Grant Proposals (funded, non-ehealth) (49) Surgery, Trauma and Surgical Sciences (75) Surgical Treatment Planning (10) Health Services Research (166) Artificial Intelligence (477) Orthopedics (38) Clinical Information and Decision Making (712) Decision Support for Health Professionals (594)

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 Farrow 1, 2 Author Orcid Image ;   George Patrick Ashcroft 1, 2 Author Orcid Image ;   Mingjun Zhong 1 Author Orcid Image ;   Lesley Anderson 1 Author Orcid Image
Article Authors Cited by Tweetations (13) Metrics
Luke Farrow 1, 2, BSc, MBChB;  George Patrick Ashcroft 1, 2, BSc, MBChB;  Mingjun Zhong 1, PhD;  Lesley Anderson 1, BSc, PGCHET, MPHE, PhD

1 Institute of Applied Health Sciences, University of Aberdeen , Aberdeen , GB

2 Grampian Orthopaedics, National Health Service Grampian , Aberdeen , GB

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