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 …

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 …

Cognitive impairment in patients with Alzheimer's disease (AD) is associated with reduction
in hippocampal volume in magnetic resonance imaging (MRI). However, it is unknown …

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 …

Osteoarthritis (OA) is the commonest musculoskeletal disease worldwide, with an increasing
prevalence due to aging. It causes joint pain and disability, decreased quality of life, and a …

Objectives As an increasing number of studies apply artificial intelligence (AI) algorithms in
osteoarthritis (OA) detection, we performed a systematic review and meta-analysis to pool …

Osteoarthritis (OA) is one of the fast-growing disability-related diseases worldwide, which
has significantly affected the quality of patients' lives and brings about substantial …

Osteoarthritis (OA) is a degenerative disease that affects the synovial joints, especially the
knee joint, diminishing the ability of patients to perform daily physical activities …

Aims Machine learning (ML), a branch of artificial intelligence that uses algorithms to learn
from data and make predictions, offers a pathway towards more personalized and tailored …