Publications by authors named "Henrik Aberg"
Article Synopsis
- - This study aimed to create a convolutional neural network (CNN) to detect and classify fractures, focusing on specific characteristics like greater tuberosity displacement and neck-shaft angle, using plain X-rays.
- - The CNN was trained with over 1,700 X-rays from Australia and validated with data from the Netherlands, comparing results with CT scans evaluated by experts.
- - The CNN demonstrated a high detection accuracy of 94% for fractures, but less effectiveness in identifying specific fracture characteristics, particularly showing lower performance for greater tuberosity displacement and neck-shaft angles.
Objectives: To compare the recently developed Hansson Pinloc system, which features 3 cylindrical parallel pins with hooks connected through a fixed-angle interlocking plate, with the Hansson Pin System (2 hook pins) for the treatment of femoral neck fractures.
Design: One hundred fourteen patients with displaced femoral neck fractures and 325 patients with nondisplaced fractures from 9 orthopaedic centers were randomized to either Hansson Pinloc system or Hansson Pin System and followed for 2 years or until death. Age at inclusion was 50 years or older.
Background and purpose - There are few reports on the efficiency of the Hansson Pinloc System (Pinloc) for fixation of femoral neck fractures. We compare Pinloc with the commonly used Hansson Pin System in a randomized clinical trial. The primary outcome measure is non-union or avascular necrosis within 2 years.
View Article and Find Full Text PDFIntroduction: Comorbidities and polypharmacy complicate the treatment of geriatric patients with acute orthopedic injuries. A correct medication history and an updated medication list are a prerequisite for safe treatment of these debilitated patients. Published evidence suggests favorable outcomes with comanaged care.
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