Total hip arthroplasty (THA) and total knee arthroplasty (TKA) are common orthopaedic procedures requiring postoperative radiographs to confirm implant positioning and identify complications. Artificial intelligence (AI)-based image analysis has the potential to automate this postoperative surveillance. The aim of this study was to prepare a scoping review to investigate how AI is being used in the analysis of radiographs following THA and TKA, and how accurate these tools are. The Embase, MEDLINE, and PubMed libraries were systematically searched to identify relevant articles. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews and Arksey and O’Malley framework were followed. Study quality was assessed using a modified Methodological Index for Non-Randomized Studies tool. AI performance was reported using either the area under the curve (AUC) or accuracy.Aims
Methods
There is uncertainty regarding the optimal means of thromboprophylaxis
following total hip and knee arthroplasty (THA, TKA). This systematic
review presents the evidence for acetylsalicylic acid (aspirin)
as a thromboprophylactic agent in THA and TKA and compares it with
other chemoprophylactic agents. A search of literature published between 2004 and 2014 was performed
in accordance with Preferred Reporting Items for Systematic Reviews
and Meta-Analyses guidelines. A total of 13 studies were eligible
for inclusion.Aims
Materials and Methods
