Osteoporosis and its clinical consequence, bone fracture, is a multifactorial disease that has
been the object of extensive research. Recent advances in machine learning (ML) have …

Aims Although obesity is associated with chronic disease, a large section of the population
with high BMI does not have an increased risk of metabolic disease. Increased visceral …

Purpose The purpose of this study was to conduct an external validation of a fracture
assessment deep learning algorithm (Rayvolve®) using digital radiographs from a real-life …

Objective: To explore a new artificial intelligence (AI)-aided method to assist the clinical
diagnosis of femoral intertrochanteric fracture (FIF), and further compare the performance …

In the last two decades, relevant progress has been made in the diagnosis of
musculoskeletal tumors due to the development of new imaging tools, such as diffusion …

Objectives Automatic bone lesions detection and classifications present a critical challenge
and are essential to support radiologists in making an accurate diagnosis of bone lesions. In …

Artificial intelligence (AI) application development is underway in all areas of radiology
where many promising tools are focused on the spine and spinal cord. In the past decade …

There is an expanding body of literature that describes the application of deep learning and
other machine learning and artificial intelligence methods with potential relevance to …

Deep Learning Reconstruction The most recent advances in accelerating musculoskeletal
MRI use deep learning reconstruction (DLR) techniques. These advances have been …

With the recent developments in deep learning and the rapid growth of convolutional neural
networks, artificial intelligence has shown promise as a tool that can transform several …