Osteoporosis is a disease characterized by low bone mass and microarchitectural
deterioration leading to increased bone fragility and fracture risk. Typically, osteoporotic …

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 …

Osteoporosis, marked by low bone mineral density (BMD) and a high fracture risk, is a major
health issue. Recent progress in medical imaging, especially CT scans, offers new ways of …

Introduction Osteoporosis is a geriatric metabolic ailment distinguished by low bone mineral
density (BMD) and strength with enhanced micro-architectural retrogression of the …

In this unprecedented era of the overwhelming volume of medical data, machine learning
can be a promising tool that may shed light on an individualized approach and a better …

Patients living with osteoporosis are projected to increase dramatically in the next decade.
Alongside the forecasted increased societal and economic burden, we will live a crisis of …

Artificial neural networks are computer software systems that recognize patterns in complex
data sets. A recent development in neural computing, multiversion systems (MVS), has led to …

Artificial intelligence (AI) is a potentially reliable assistant in the diagnosis of osteoporosis.
This meta-analysis aims to assess the diagnostic accuracy of the AI-based systems using …

Osteoporosis is an important health problem now, and the incidence of fractures and their
associated costs are rising rapidly as our population ages (1). The National Osteoporosis …

New methods for automatic image segmentation, and prediction of fracture risk show
promising clinical value. Though these recent developments have had a successful initial …