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 …

The purpose of this research was to provide a “systematic literature review” of knee bone
reports that are obtained by MRI, CT scans, and X-rays by using deep learning and machine …

The most commonly injured ligament in the human body is an anterior cruciate ligament
(ACL). ACL injury is standard among the football, basketball and soccer players. The study …

After chronic low back pain, Temporomandibular Joint (TMJ) disorders are the second most
common musculoskeletal condition affecting 5 to 12% of the population, with an annual …

Knee osteoarthritis (KOA) is a degenerative joint disease, which significantly affects middle-
aged and elderly people. The majority of KOA is primarily based on hyaline cartilage …

Knee osteoarthritis is a major diarthrodial joint disorder with profound global socioeconomic
impact. Diagnostic imaging using magnetic resonance image can produce morphometric …

The purpose of this study is to evaluate the ability of a machine learning algorithm to classify
in vivo magnetic resonance images (MRI) of human articular cartilage for development of …

Objective Knee osteoarthritis (OA) is among the higher contributors to global disability.
Despite its high prevalence, currently, there is no cure for this disease. Furthermore, the …

Many diseases have no visual cues in the early stages, eluding image-based detection.
Today, osteoarthritis (OA) is detected after bone damage has occurred, at an irreversible …

Purpose This study aims to describe and assess the current stage of the artificial intelligence
(AI) technology integration in preventive orthopaedics of the knee and hip joints. Materials …