Literature surrounding artificial intelligence (AI)-related applications for hip and knee arthroplasty has proliferated. However, meaningful advances that fundamentally transform the practice and delivery of joint arthroplasty are yet to be realized, despite the broad range of applications as we continue to search for meaningful and appropriate use of AI. AI literature in hip and knee arthroplasty between 2018 and 2021 regarding image-based analyses, value-based care, remote patient monitoring, and augmented reality was reviewed. Concerns surrounding meaningful use and appropriate methodological approaches of AI in joint arthroplasty research are summarized. Of the 233 AI-related orthopaedics articles published, 178 (76%) constituted original research, while the rest consisted of editorials or reviews. A total of 52% of original AI-related research concerns hip and knee arthroplasty (n = 92), and a narrative review is described. Three studies were externally validated. Pitfalls surrounding present-day research include conflating vernacular (“AI/machine learning”), repackaging limited registry data, prematurely releasing internally validated prediction models, appraising model architecture instead of inputted data, withholding code, and evaluating studies using antiquated regression-based guidelines. While AI has been applied to a variety of hip and knee arthroplasty applications with limited clinical impact, the future remains promising if the question is meaningful, the methodology is rigorous and transparent, the data are rich, and the model is externally validated. Simple checkpoints for meaningful AI adoption include ensuring applications focus on: administrative support over clinical evaluation and management; necessity of the advanced model; and the novelty of the question being answered. Cite this article:
Dupuytren’s contracture is a benign, myoproliferative condition
affecting the palmar fascia that results in progressive contractures
of the fingers. Despite increased knowledge of the cellular and
connective tissue changes involved, neither a cure nor an optimum
form of treatment exists. The aim of this systematic review was
to summarize the best available evidence on the management of this
condition. A comprehensive database search for randomized controlled trials
(RCTs) was performed until August 2017. We studied RCTs comparing
open fasciectomy with percutaneous needle aponeurotomy (PNA), collagenase
clostridium histolyticum (CCH) with placebo, and CCH with PNA, in
addition to adjuvant treatments aiming to improve the outcome of
open fasciectomy. A total of 20 studies, involving 1584 patients,
were included.Aims
Materials and Methods
