Background Osteoporosis is a significant health problem in the skeletal system, associated
with bone tissue changes and its strength. Machine Learning (ML), on the other hand, has …

Osteoporosis (OP) is characterized by diminished bone mass and deteriorating bone
structure that increases the chance of fractures in the spine, hips, and wrists. In this paper, a …

Osteoporosis contributes significantly to health and economic burdens worldwide. However,
the development of osteoporosis-related prediction tools has been limited for lower-middle …

Osteoporosis is a metabolic bone condition that occurs when bone mineral density and
mass decrease. This makes the bones weak and brittle. The disorder is often undiagnosed …

Osteoporosis is a skeletal disease that is commonly seen in older people but often
neglected due to its silent nature. To overcome the issue of osteoporosis in men and …

Purpose The screening and diagnosis of osteoporosis in patients with type 2 diabetes
mellitus (T2DM) based on bone mineral density remains challenging because of the limited …

A machine learning model using clinical, laboratory, and imaging data was developed to
predict 10-year risk of menopause-related osteoporosis. The resulting predictions, which are …

Osteoporosis is a serious health concern in patients with rheumatoid arthritis (RA). Machine
learning (ML) models have been increasingly incorporated into various clinical practices …

Background Patients with diabetes are more likely to be predisposed to fractures compared
to those without diabetes. In clinical practice, predicting fracture risk in diabetics is still …

The diagnosis of osteoporosis is made by measuring bone mineral density (BMD) using
dual-energy X-ray absorptiometry (DXA). Machine learning, one of the artificial intelligence …