A new machine learning process has been shown to outperform clinicians when identifying and classifying hip fractures, raising the possibility of better care and reduced costs. Researchers from Bath’s ...

Adhesives in bonded parts are frequently subjected to varying degrees of direct and indirect strain. The capacity of adhesives to endure such strains is crucial to ensure bonds remain reliable and ...

A new machine learning process designed to identify and classify hip fractures has been shown to outperform human clinicians. Two convolutional neural networks (CNNs) were able to identify and ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models are increasingly used for a deeper investigation of osteoporosis, including diagnosis ...

Material resistance to crack growth and fracture is known as fracture toughness (K c), which determines the structural integrity of brittle materials by characterizing the rate at which energy is ...

Community screening and therapeutic prevention strategies may reduce the incidence of falls in older people. The effects of these measures on the incidence of fractures, the use of health resources, ...