AIMC Topic: Femur
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Fully automated assessment of the knee alignment on long leg radiographs following corrective knee osteotomies in patients with valgus or varus deformities.
Archives of orthopaedic and trauma surgery
Dec 13, 2023
INTRODUCTION: The assessment of the knee alignment on long leg radiographs (LLR) postoperative to corrective knee osteotomies (CKOs) is highly dependent on the reader's expertise. Artificial Intelligence (AI) algorithms may help automate and standard...
The effect of deep learning-based lesion segmentation on failure load calculations of metastatic femurs using finite element analysis.
Bone
Dec 5, 2023
Bone ranks as the third most frequent tissue affected by cancer metastases, following the lung and liver. Bone metastases are often painful and may result in pathological fracture, which is a major cause of morbidity and mortality in cancer patients....
Deep-Learning Automation of Preoperative Radiographic Parameters Associated With Early Periprosthetic Femur Fracture After Total Hip Arthroplasty.
The Journal of arthroplasty
Nov 23, 2023
BACKGROUND: The radiographic assessment of bone morphology impacts implant selection and fixation type in total hip arthroplasty (THA) and is important to minimize the risk of periprosthetic femur fracture (PFF). We utilized a deep-learning algorithm...
Applying Machine Learning Analysis Based on Proximal Femur of Abdominal Computed Tomography to Screen for Abnormal Bone Mass in Femur.
Academic radiology
Nov 15, 2023
RATIONALE AND OBJECTIVES: To evaluate the performance of machine learning analysis based on proximal femur of abdominal computed tomography (CT) scans in screening for abnormal bone mass in femur.
Deep learning generated lower extremity radiographic measurements are adequate for quick assessment of knee angular alignment and leg length determination.
Skeletal radiology
Nov 15, 2023
PURPOSE: Angular and longitudinal deformities of leg alignment create excessive stresses across joints, leading to pain and impaired function. Multiple measurements are used to assess these deformities on anteroposterior (AP) full-length radiographs....
Fusion of electronic health records and radiographic images for a multimodal deep learning prediction model of atypical femur fractures.
Computers in biology and medicine
Nov 13, 2023
Atypical femur fractures (AFF) represent a very rare type of fracture that can be difficult to discriminate radiologically from normal femur fractures (NFF). AFFs are associated with drugs that are administered to prevent osteoporosis-related fragili...
Predicting trabecular arrangement in the proximal femur: An artificial neural network approach for varied geometries and load cases.
Journal of biomechanics
Nov 7, 2023
Machine learning (ML) and deep learning (DL) approaches can solve the same problems as the finite element method (FEM) with a high degree of accuracy in a fraction of the required time, by learning from previously presented data. In this work, the bo...
Enhanced Deep-Learning-Based Automatic Left-Femur Segmentation Scheme with Attribute Augmentation.
Sensors (Basel, Switzerland)
Jun 19, 2023
This research proposes augmenting cropped computed tomography (CT) slices with data attributes to enhance the performance of a deep-learning-based automatic left-femur segmentation scheme. The data attribute is the lying position for the left-femur m...
Body height estimation from automated length measurements on standing long leg radiographs using artificial intelligence.
Scientific reports
May 25, 2023
Artificial-intelligence (AI) allows large-scale analyses of long-leg-radiographs (LLRs). We used this technology to derive an update for the classical regression formulae by Trotter and Gleser, which are frequently used to infer stature based on long...
Robot-assisted implantation of additively manufactured patient-specific orthopaedic implants: evaluation in a sheep model.
International journal of computer assisted radiology and surgery
Mar 1, 2023
PURPOSE: Bone tumours must be surgically excised in one piece with a margin of healthy tissue. The unique nature of each bone tumour case is well suited to the use of patient-specific implants, with additive manufacturing allowing production of highl...
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