Latest AI and machine learning research in osteoporosis for healthcare professionals.
BACKGROUND: Orthopantomograms (OPGs) are essential diagnostic tools in dental and maxillofacial care...
Proximity labeling (PL) techniques have advanced neuroscience by revealing the molecular interaction...
In orthopedic minimally invasive surgeries (MIS) such as percutaneous vertebroplasty (PVP) and percu...
The early detection and treatment of osteoporosis and prevention of fragility fractures are urgent s...
Moyamoya disease (MMD) is a rare occlusive cerebrovascular disease, and its pathological mechanism r...
Osteoporosis is a chronic disease characterized by a progressive decline in bone density and quality...
Neonatal hypoxic-ischemic (H-I) brain injury, a leading cause of neurodevelopmental disabilities, se...
Chronic obstructive pulmonary disease (COPD) is a highly heterogeneous condition characterized by di...
Atrial fibrillation (AF) significantly affects morbidity and mortality rates. Class III antiarrhythm...
BACKGROUND: Plant growth regulators (PGRs) have proven effective in alleviating salt stress damage i...
Oscillations are a common phenomenon in cell biology. They are based on non-linear coupling of bioch...
PURPOSE: Few studies have explored whether accelerometer-measured sedentary behavior increases cance...
BACKGROUND: Cathepsin K (CTSK), a cysteine protease of the papain family, exhibits high expression i...
OBJECTIVE: Deep learning image reconstruction (DLIR) technology effectively improves the image quali...
BACKGROUND: Current ultrasound-based screening for endometrial cancer (EC) primarily relies on endom...
OBJECTIVE: This study aimed to develop and validate a predictive model to detect osteoporosis using ...
The study investigates the optimization of Natural Rubber Latex Modified Concrete (NRLMC) using an A...
Patients with lumbar degenerative disease typically undergo preoperative MRI combined with CT scans,...
Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can sign...
Predicting leaf mineral composition is critical for monitoring plant health and optimizing agricultu...
Drug-induced cardiotoxicity poses a significant risk to human health, and reliable predictive models...