AIMC Topic: Rib Fractures

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An automatic fresh rib fracture detection and positioning system using deep learning.

The British journal of radiology Apr 17, 2023
OBJECTIVE: To evaluate the performance and robustness of a deep learning-based automatic fresh rib fracture detection and positioning system (FRF-DPS).
Humans Ribs Sensitivity and Specificity Deep Learning Rib Fractures Retrospective Studies
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The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma.

BMC medical imaging Apr 13, 2023
BACKGROUND: To evaluate the value of a deep learning-based computer-aided diagnostic system (DL-CAD) in improving the diagnostic performance of acute rib fractures in patients with chest trauma.
Sensitivity and Specificity Deep Learning Wounds, Nonpenetrating Tomography, X-Ray Computed Thoracic Injuries Humans Retrospective Studies Rib Fractures Computers
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A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children.

Journal of digital imaging Mar 10, 2023
Chest radiography is the modality of choice for the identification of rib fractures in young children and there is value for the development of computer-aided rib fracture detection in this age group. However, the automated identification of rib frac...
ROC Curve Radiography Child, Preschool Child Humans Infant Deep Learning Retrospective Studies Infant, Newborn Rib Fractures
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FasterRib: A deep learning algorithm to automate identification and characterization of rib fractures on chest computed tomography scans.

The journal of trauma and acute care surgery Mar 6, 2023
OBJECTIVE: Characterizing and enumerating rib fractures are critical to informing clinical decisions, yet in-depth characterization is rarely performed because of the manual burden of annotating these injuries on computed tomography (CT) scans. We hy...
Deep Learning Thorax Retrospective Studies Tomography, X-Ray Computed Neural Networks, Computer Rib Fractures Humans
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Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study.

The British journal of radiology Mar 3, 2023
OBJECTIVE: In this proof-of-concept study, we aimed to develop deep-learning-based classifiers to identify rib fractures on frontal chest radiographs in children under 2 years of age.
Retrospective Studies Infant Deep Learning Humans Rib Fractures ROC Curve Radiography Child, Preschool Child
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Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm.

European radiology Oct 10, 2022
OBJECTIVES: To evaluate deep neural networks for automatic rib fracture detection on thoracic CT scans and to compare its performance with that of attending-level radiologists using a large amount of datasets from multiple medical institutions.
Deep Learning Humans Algorithms Rib Fractures Retrospective Studies Tomography, X-Ray Computed
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DeepBackRib: Deep learning to understand factors associated with readmissions after rib fractures.

The journal of trauma and acute care surgery Sep 19, 2022
BACKGROUND: Deep neural networks yield high predictive performance, yet obscure interpretability limits clinical applicability. We aimed to build an explainable deep neural network that elucidates factors associated with readmissions after rib fractu...
Hospitalization Adult Humans Deep Learning Cohort Studies Rib Fractures Patient Readmission
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Development and assessment of deep learning system for the location and classification of rib fractures via computed tomography.

European journal of radiology Jul 2, 2022
PURPOSE: The purpose of this study was to evaluate the performance of a deep learning system for the automatic diagnosis and classification of rib fractures.
Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Rib Fractures Humans Retrospective Studies
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Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.

International journal of computer assisted radiology and surgery Apr 6, 2022
PURPOSE: Clinical rib fracture diagnosis via computed tomography (CT) screening has attracted much attention in recent years. However, automated and accurate segmentation solutions remain a challenging task due to the large sets of 3D CT data to deal...
Tomography, X-Ray Computed Deep Learning Neural Networks, Computer Rib Fractures Image Processing, Computer-Assisted Humans
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Scalable deep learning algorithm to compute percent pulmonary contusion among patients with rib fractures.

The journal of trauma and acute care surgery Mar 22, 2022
BACKGROUND: Pulmonary contusion exists along a spectrum of severity, yet is commonly binarily classified as present or absent. We aimed to develop a deep learning algorithm to automate percent pulmonary contusion computation and exemplify how transfe...
Adult Rib Fractures Deep Learning Humans Retrospective Studies Contusions Algorithms Lung Injury
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