Objective The purpose of present review paper is to introduce the reader to key directions of
manual, semi-automatic and automatic knee osteoarthritis (OA) severity classification from …

Purpose We developed a tool for locating and grading knee osteoarthritis (OA) from digital X-
ray images and illustrate the possibility of deep learning techniques to predict knee OA as …

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

Background Knee osteoarthritis (KOA) is a common disease in the elderly. An effective
method for accurate diagnosis could affect the management and prognosis of patients …

Knee osteoarthritis (OA) is a chronic disease that considerably reduces patients' quality of
life. Preventive therapies require early detection and lifetime monitoring of OA progression …

Background To develop and assess the performance of machine learning (ML) models
based on magnetic resonance imaging (MRI) radiomics analysis for knee osteoarthritis …

Background Knee osteoarthritis (OA) is harmful to people's health. Effective treatment
depends on accurate diagnosis and grading. This study aimed to assess the performance of …

Osteoarthritis is a chronic and degenerative disorder of multifactorial etiology. Knee, hip and
spine joints are majorly affected by the Osteoarthritis due to loss of articular cartilage, bone …

Osteoarthritis (OA) is a common chronic health condition of bone joints. It gradually leads
severe pain and disability. Over the last 2 decades, the effect of OA is noticed more in the …

Large Language Models (LLMs) have been making big waves in the machine learning
community within the past few years. The impressive scalability of LLMs due to the advent of …