AIMC Topic: Femoral Fractures
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Exploring the use of machine learning for the assessment of skeletal fracture morphology and differentiation between impact mechanisms: A pilot study.
Journal of forensic sciences
Jan 28, 2022
Analyzing and interpreting traumatic injuries is a fundamental aspect of routine forensic case work. As the human skeleton can be impacted through a combination of loading mechanisms and varying impact energies, the analysis and interpretation of ske...
Finite Element Assessment of Bone Fragility from Clinical Images.
Current osteoporosis reports
Dec 21, 2021
PURPOSE OF REVIEW: We re-evaluated clinical applications of image-to-FE models to understand if clinical advantages are already evident, which proposals are promising, and which questions are still open.
Design of a vibration damping robot and force evaluation in intraoperative robotic-assisted femoral shaft repair using a modified soft damper.
The international journal of medical robotics + computer assisted surgery : MRCAS
Dec 8, 2021
BACKGROUND: Closed intra-medullary nailing fixation is a method for treating fractured femurs with minimal invasiveness. However, this method lacks safety and precision. To avert prevailing problems such as extended cracks in the already broken bone,...
X-Ray Film under Artificial Intelligence Algorithm in the Evaluation for Nursing Effect of Gamma Nail Internal Fixation in Elderly Patients with Intertrochanteric Fracture of Femur.
Computational and mathematical methods in medicine
Nov 30, 2021
The aim of this work was to explore the effects of Gamma nail internal fixation for intertrochanteric fracture of femur by X-ray film classification and recognition method based on artificial intelligence algorithm. The study subjects were 100 elderl...
Artificial intelligence for the classification of fractures around the knee in adults according to the 2018 AO/OTA classification system.
PloS one
Apr 1, 2021
BACKGROUND: Fractures around the knee joint are inherently complex in terms of treatment; complication rates are high, and they are difficult to diagnose on a plain radiograph. An automated way of classifying radiographic images could improve diagnos...
Deep neural networks with promising diagnostic accuracy for the classification of atypical femoral fractures.
Acta orthopaedica
Feb 25, 2021
Background and purpose - A correct diagnosis is essential for the appropriate treatment of patients with atypical femoral fractures (AFFs). The diagnostic accuracy of radiographs with standard radiology reports is very poor. We derived a diagnostic a...
Use of Natural Language Processing Tools to Identify and Classify Periprosthetic Femur Fractures.
The Journal of arthroplasty
Jul 24, 2019
BACKGROUND: Manual chart review is labor-intensive and requires specialized knowledge possessed by highly trained medical professionals. The cost and infrastructure challenges required to implement this is prohibitive for most hospitals. Natural lang...
Detecting intertrochanteric hip fractures with orthopedist-level accuracy using a deep convolutional neural network.
Skeletal radiology
Jun 28, 2018
OBJECTIVE: To compare performances in diagnosing intertrochanteric hip fractures from proximal femoral radiographs between a convolutional neural network and orthopedic surgeons.
Robotic distal locking of intramedullary nailing: Technical description and cadaveric testing.
The international journal of medical robotics + computer assisted surgery : MRCAS
May 23, 2017
Interlocked intramedullary nailing is the treatment of choice for femoral shaft fractures. However, distal locking is a technically challenging part of the procedure that can result in distal femoral malrotation and high radiation exposure. We have t...
Predicting strength of femora with metastatic lesions from single 2D radiographic projections using convolutional neural networks.
Computer methods and programs in biomedicine
Jun 1, 2025
BACKGROUND AND OBJECTIVE: Patients with metastatic bone disease are at risk of pathological femoral fractures and may require prophylactic surgical fixation. Current clinical decision support tools often overestimate fracture risk, leading to overtre...
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