Deep learning (DL) is a subset of machine learning that is rapidly gaining traction in surgical
fields. Its tremendous capacity for powerful data-driven problem-solving has generated …

Aims Total hip arthroplasty (THA) and total knee arthroplasty (TKA) are common orthopaedic
procedures requiring postoperative radiographs to confirm implant positioning and identify …

Machine Learning for the Orthopaedic Surgeon: Uses and Limit... : JBJS Machine Learning for
the Orthopaedic Surgeon: Uses and Limitations : JBJS JBJS Journal Case Connector Reviews …

Background Revision total hip arthroplasty (THA) requires preoperatively identifying in situ
implants, a time-consuming and sometimes unachievable task. Although deep learning (DL) …

Background Artificial intelligence (AI) has become involved in many aspects of everyday life,
from voice-activated virtual assistants built into smartphones to global online search …

Introduction In recent years, there has been a significant increase in the development of
artificial intelligence (AI) algorithms aimed at reviewing radiographs after total joint …

The assessment of implant status and complications of Total Hip Replacement (THR) relies
mainly on the clinical evaluation of the X-ray images to analyse the implant and the …

Flagging the presence of metal devices before a head MRI scan is essential to allow
appropriate safety checks. There is an unmet need for an automated system which can flag …

Background Surgical management of complications following knee arthroplasty demands
accurate and timely identification of implant manufacturer and model. Automated image …

Background and Objectives: The number of patients who undergo multiple operations on a
knee is increasing. The objective of this study was to develop a deep learning algorithm that …