The purpose of this study was to evaluate the
risk of late displacement after the treatment of distal radial fractures with
a
Malunion is the most common complication of the
distal radius with many modalities of treatment available for such
a problem. The use of bone grafting after an osteotomy is still
recommended by most authors. We hypothesised that bone grafting
is not required; fixing the corrected construct with a volar locked
plate helps maintain the alignment, while metaphyseal defect fills
by itself. Prospectively, we performed the procedure on 30 malunited
dorsally-angulated radii using fixed angle
The use of
The aim of this study was to create artificial intelligence (AI) software with the purpose of providing a second opinion to physicians to support distal radius fracture (DRF) detection, and to compare the accuracy of fracture detection of physicians with and without software support. The dataset consisted of 26,121 anonymized anterior-posterior (AP) and lateral standard view radiographs of the wrist, with and without DRF. The convolutional neural network (CNN) model was trained to detect the presence of a DRF by comparing the radiographs containing a fracture to the inconspicuous ones. A total of 11 physicians (six surgeons in training and five hand surgeons) assessed 200 pairs of randomly selected digital radiographs of the wrist (AP and lateral) for the presence of a DRF. The same images were first evaluated without, and then with, the support of the CNN model, and the diagnostic accuracy of the two methods was compared.Aims
Methods