In this paper we present the findings of a systematic literature review covering the articles
published in the last two decades in which the authors described the application of a …

Objective The purpose of present review paper is to introduce the reader to key directions of
Machine Learning techniques on the diagnosis and predictions of knee osteoarthritis …

Osteoarthritis (OA) is an extremely common musculoskeletal disease. However, current
guidelines are not well suited for diagnosing patients in the early stages of disease and do …

Abstract Machine learning as a field of artificial intelligence is increasingly applied in
medicine to assist patients and physicians. Growing datasets provide a sound basis with …

Background Semiquantitative assessment of MRI plays a central role in musculoskeletal
research; however, in the clinical setting MRI reports often tend to be subjective and …

Artificial intelligence and machine learning in orthopaedic surgery has gained mass interest
over the last decade or so. In prior studies, researchers have demonstrated that machine …

Introduction Artificial intelligence (AI) is a field of mathematical engineering which has
potential to enhance healthcare through new care delivery strategies, informed decision …

Artificial intelligence (AI) is looked upon nowadays as the potential major catalyst for the
fourth industrial revolution. In the last decade, AI use in Orthopaedics increased …

Over the past decades, MRI has become increasingly important for diagnosing and
longitudinally monitoring musculoskeletal disorders, with ongoing hardware and software …

Objective The aim of this systematic literature review was to provide a comprehensive and
exhaustive overview of the use of machine learning (ML) in the clinical care of osteoarthritis …