Deep learning predicts hip fracture using confounding patient and healthcare variables
MA Badgeley, JR Zech, L Oakden-Rayner… - NPJ digital …, 2019 - nature.com
Hip fractures are a leading cause of death and disability among older adults. Hip fractures
are also the most commonly missed diagnosis on pelvic radiographs, and delayed …
are also the most commonly missed diagnosis on pelvic radiographs, and delayed …
Vision transformer for femur fracture classification
Introduction In recent years, the scientific community focused on developing Computer-
Aided Diagnosis (CAD) tools that could improve clinicians' bone fractures diagnosis …
Aided Diagnosis (CAD) tools that could improve clinicians' bone fractures diagnosis …
Advanced deep learning techniques applied to automated femoral neck fracture detection and classification
To use deep learning with advanced data augmentation to accurately diagnose and classify
femoral neck fractures. A retrospective study of patients with femoral neck fractures was …
femoral neck fractures. A retrospective study of patients with femoral neck fractures was …
Classification of femur fracture in pelvic X-ray images using meta-learned deep neural network
In the medical field, various studies using artificial intelligence (AI) techniques have been
attempted. Numerous attempts have been made to diagnose and classify diseases using …
attempted. Numerous attempts have been made to diagnose and classify diseases using …
Medical-based deep curriculum learning for improved fracture classification
A Jiménez-Sánchez, D Mateus, S Kirchhoff… - … Image Computing and …, 2019 - Springer
Current deep-learning based methods do not easily integrate to clinical protocols, neither
take full advantage of medical knowledge. In this work, we propose and compare several …
take full advantage of medical knowledge. In this work, we propose and compare several …
Precise proximal femur fracture classification for interactive training and surgical planning
Purpose Demonstrate the feasibility of a fully automatic computer-aided diagnosis (CAD)
tool, based on deep learning, that localizes and classifies proximal femur fractures on X-ray …
tool, based on deep learning, that localizes and classifies proximal femur fractures on X-ray …
Investigation of focal loss in deep learning models for femur fractures classification
This paper develops an approach based on deep learning for the classifications of a
common critical type of bone fractures, namely proximal femur. The performance of the state …
common critical type of bone fractures, namely proximal femur. The performance of the state …
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications
Graphs are a powerful tool for representing and analyzing unstructured, non-Euclidean data
ubiquitous in the healthcare domain. Two prominent examples are molecule property …
ubiquitous in the healthcare domain. Two prominent examples are molecule property …
Real-world analysis of artificial intelligence in musculoskeletal trauma
Musculoskeletal trauma accounts for a large percentage of emergency room visits and is
amongst the top causes of unscheduled patient visits to the emergency room …
amongst the top causes of unscheduled patient visits to the emergency room …
Proximal femur fracture detection on plain radiography via feature pyramid networks
Hip fractures exceed 250,000 cases annually in the United States, with the worldwide
incidence projected to increase by 240–310% by 2050. Hip fractures are predominantly …
incidence projected to increase by 240–310% by 2050. Hip fractures are predominantly …