In the past three decades, biomedical engineering has emerged as a significant and rapidly
growing field across various disciplines. From an engineering perspective, biomaterials …

The emergency department of hospitals receives a massive number of patients with wrist
fracture. For the clinical diagnosis of a suspected fracture, X-ray imaging is the major …

Introduction Bone scintigraphy, a nuclear medicine technique, is widely used for the
detection of bone metastasis. Deep learning has also been used in bone scan classification …

Pelvic fracture is a severe trauma with a high rate of morbidity and mortality. Accurate and
automatic diagnosis and surgical planning of pelvic fracture require effective identification …

The researchers conducted data simulation experiments, but they did so unstructured in
determining the number of neurons in the hidden layer in the Artificial Neural Network Back …

Fracture related infection (FRI) is one of the most devastating complications after fracture
surgery in the lower extremities, which can lead to extremely high morbidity and medical …

Purpose Fracture detection is one of the most commonly used and studied aspects of
artificial intelligence (AI) in medicine. In this systematic review and meta-analysis, we aimed …

In order to improve the accuracy of the corrosion fatigue life prediction model for the 7050
aluminum alloy, this study presents a corrosion fatigue life prediction model based on back …

In this period, X-rays are the main instruments used to examine suspected human fractures.
It takes a lot of time to manually examine X-rays, which calls for experienced radiologists or …

This study presents a stacked autoencoder (SAE)-based assessment method which is one
of the unsupervised learning schemes for the investigation of bone fracture. Relatively …