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 …

Recently, many diseases have negatively impacted people's lifestyles. Among these, knee
osteoarthritis (OA) has been regarded as the primary cause of activity restriction and …

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 …

Contrast enhancement techniques that are proposed in the literature are devised to
enhance image quality so as to provide better details for different image processing tasks …

Osteoarthritis (OA) is a degenerative joint disease, which significantly affects middle-aged
and elderly people. Although primarily identified via hyaline cartilage change based on …

The field of dysmorphology has been changed by the use Artificial Intelligence (AI) and the
development of Next Generation Phenotyping (NGP). The aim of this study was to propose a …

Knee osteoarthritis is a common form of arthritis, a chronic and progressive disease
recognized by joint space narrowing, osteophyte formation, sclerosis, and bone deformity …

Pancreas segmentation is necessary for observing lesions, analyzing anatomical structures,
and predicting patient prognosis. Therefore, various studies have designed segmentation …

Knee issues are very frequent among people of all ages, and osteoarthritis is one of the
most common reasons behind them. The primary feature in observing extremity and …

This paper introduces a new approach to quantify knee osteoarthritis (OA) severity using
radiographic (X-ray) images. Our new approach combines preprocessing, Convolutional …