AIMC Topic: Internal Fixators

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Development and validation of a deep learning model using convolutional neural networks to identify femoral internal fixation device in radiographs.

Skeletal radiology
OBJECTIVE: The purpose of this study is to develop and validate a deep convolutional neural network (DCNN) model to automatically identify the manufacturer and model of hip internal fixation devices from anteroposterior (AP) radiographs.

The Evolution of Remote-Controlled Intramedullary Lengthening and Compression Nails.

Journal of orthopaedic trauma
The operative elongation of limbs has long been a goal of orthopaedic surgeons. Indeed, the very first external skeletal fixators, although designed for stabilization of displaced fractures, were also used to overcome the posttrauma shortening that s...