Despite the vast quantities of published artificial intelligence (AI) algorithms that target trauma and orthopaedic applications, very few progress to inform clinical practice. One key reason for this is the lack of a clear pathway from development to deployment. In order to assist with this process, we have developed the Clinical Practice Integration of Artificial Intelligence (CPI-AI) framework – a five-stage approach to the clinical practice adoption of AI in the setting of trauma and orthopaedics, based on the IDEAL principles ( Cite this article:
To investigate psychosocial and biomedical outcomes following
total hip replacement (THR) and to identify predictors of recovery
from THR. Patients with osteoarthritis (OA) on the waiting list for primary
THR in North West England were assessed pre-operatively and at six
and 12 months post-operatively to investigate psychosocial and biomedical
outcomes. Psychosocial outcomes were anxiety and depression, social
support and health-related quality of life (HRQoL). Biomedical outcomes
were pain, physical function and stiffness. The primary outcome
was the Short-Form 36 (SF-36) Health Survey Total Physical Function.
Potential predictors of outcome were age, sex, body mass index,
previous joint replacement, involvement in the decision for THR,
any comorbidities, any complications, type of medication, and pre-operative
ENRICHD Social Support Instrument score, Hospital Anxiety and Depression
scores and Western Ontario and McMaster Universities osteoarthritis index
score.Objectives
Methods
