Results 21 to 30 of about 1,880,801 (329)

Deep convolutional neural network for rib fracture recognition on chest radiographs

open access: yesFrontiers in Medicine, 2023
Introduction Rib fractures are a prevalent injury among trauma patients, and accurate and timely diagnosis is crucial to mitigate associated risks. Unfortunately, missed rib fractures are common, leading to heightened morbidity and mortality rates. While
Shu-Tien Huang   +4 more
semanticscholar   +1 more source

Point of Care Ultrasound Identification of Multiple Rib Fractures in a Pediatric Patient with Osteogenesis Imperfecta Type 3

open access: yesChildren, 2022
Patients with osteogenesis imperfecta (OI) are at an increased risk of pathological rib fractures even if there is no history of trauma. Early and accurate identification of such fractures are crucial for appropriate management.
Samuel Enci Quek   +4 more
doaj   +1 more source

Outcome after surgical stabilization of symptomatic rib fracture nonunion: a multicenter retrospective case series

open access: yesEuropean Journal of Trauma and Emergency Surgery, 2022
This study aimed to determine the long-term level of pain after surgical treatment of one or more symptomatic rib fracture nonunions. Secondary aims were to evaluate the occurrence of adverse events, satisfaction, and activity resumption.
Suzanne F. M. van Wijck   +6 more
semanticscholar   +1 more source

Experimental study exploring the factors that promote rib fragility in the elderly

open access: yesScientific Reports, 2021
Rib fractures represent a common injury type due to blunt chest trauma, affecting hospital stay and mortality especially in elderly patients. Factors promoting rib fragility, however, are little investigated.
Christian Liebsch   +4 more
doaj   +1 more source

Development of an artificial intelligence-assisted computed tomography diagnosis technology for rib fracture and evaluation of its clinical usefulness

open access: yesScientific Reports, 2022
Artificial intelligence algorithms utilizing deep learning are helpful tools for diagnostic imaging. A deep learning-based automatic detection algorithm was developed for rib fractures on computed tomography (CT) images of high-energy trauma patients. In
A. Niiya   +11 more
semanticscholar   +1 more source

Rib Fracture Detection with Dual-Attention Enhanced U-Net

open access: yesComputational and Mathematical Methods in Medicine, 2022
Rib fractures are common injuries caused by chest trauma, which may cause serious consequences. It is essential to diagnose rib fractures accurately.
Zheng Zhou   +3 more
semanticscholar   +1 more source

Rib fracture management: A review of surgical stabilization, regional analgesia, and intercostal nerve cryoablation

open access: yesSurgery in Practice and Science, 2022
Highlights • Rib fractures (RF) are common and result in significant morbidity and mortality.• Surgical stabilization of rib fractures (SSRF) has shown to improve outcomes.• SSRF indications include flail chest, ≥ 3 severely displaced RF, and the elderly.
Stephen Stopenski   +3 more
semanticscholar   +1 more source

Fatal blunt chest trauma: an evaluation of rib fracture patterns and age

open access: yesZeitschrift für Rechtsmedizin, 2022
The following study was undertaken to determine if any specific occupant characteristics, crash factors, or associated injuries identified at autopsy could predict the occurrence or number of fractured ribs in adults.
Siobhan O’Donovan   +4 more
semanticscholar   +1 more source

Patterns of serial rib fractures after blunt chest trauma: An analysis of 380 cases.

open access: yesPLoS ONE, 2019
Rib fractures represent the most common bone fracture, occurring in 10-20% of all blunt trauma patients and leading to concomitant injuries of the inner organs in severe cases.
Christian Liebsch   +5 more
doaj   +1 more source

Deep Rib Fracture Instance Segmentation and Classification From CT on the RibFrac Challenge [PDF]

open access: yesIEEE Transactions on Medical Imaging
Rib fractures are a common and potentially severe injury that can be challenging and labor-intensive to detect in CT scans. While there have been efforts to address this field, the lack of large-scale annotated datasets and evaluation benchmarks has ...
Jiancheng Yang   +24 more
semanticscholar   +1 more source

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