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 ...
Please provide your email address to receive an email when new articles are posted on . SAN ANTONIO — Length of stay and total hospital costs for geriatric patients with low-energy hip fractures ...
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 ...
Femoral neck fractures can be classified by their anatomic location. The femoral neck can be divided into three regions, subcapital, transcervical, and basicervical. Subcapital and transcervical ...
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