An accurate diagnosis of bone tumours on imaging is crucial for appropriate and successful
treatment. The advent of Artificial intelligence (AI) and machine learning methods to …

We aim to conduct a meta-analysis on studies that evaluated the diagnostic performance of
artificial intelligence (AI) algorithms in the detection of primary bone tumors, distinguishing …

Orthopaedic diseases, which affect millions of people globally, present significant diagnostic
challenges, often leading to long-term disability and chronic pain. There is an ongoing …

Objectives Musculoskeletal (MSK) tumors, given their high mortality rate and heterogeneity,
necessitate precise examination and diagnosis to guide clinical treatment effectively …

This article will provide a perspective review of the most extensively investigated deep
learning (DL) applications for musculoskeletal disease detection that have the best potential …

Recent advancements in artificial intelligence (AI) and machine learning offer numerous
opportunities in musculoskeletal radiology to potentially bolster diagnostic accuracy …

Purpose Computed tomography (CT) has the advantages of being low cost and noninvasive
and is a primary diagnostic method for brain diseases. However, it is a challenge for junior …

Background Malignant bone tumors are a type of cancer with varying malignancy and
prognosis. Accurate diagnosis and classification are crucial for treatment and prognosis …

Purpose To develop a deep learning (DL) model for classifying histological types of primary
bone tumors (PBTs) using radiographs and evaluate its clinical utility in assisting …

Artificial Intelligence (AI) is rapidly transforming healthcare, particularly in orthopedics, by
enhancing diagnostic accuracy, surgical planning, and personalized treatment. This review …