Artificial intelligence CAD tools in trauma imaging: a scoping review from the American Society of Emergency Radiology (ASER) AI/ML Expert Panel

D Dreizin, PV Staziaki, GD Khatri, NM Beckmann… - Emergency …, 2023 - Springer
Abstract Background AI/ML CAD tools can potentially improve outcomes in the high-stakes,
high-volume model of trauma radiology. No prior scoping review has been undertaken to …

[HTML][HTML] Automated detection and screening of traumatic brain injury (TBI) using computed tomography images: a comprehensive review and future perspectives

A Gudigar, U Raghavendra, A Hegde… - International journal of …, 2021 - mdpi.com
Traumatic brain injury (TBI) occurs due to the disruption in the normal functioning of the
brain by sudden external forces. The primary and secondary injuries due to TBI include …

[HTML][HTML] Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model

P Inkeaw, S Angkurawaranon, P Khumrin… - Computers in Biology …, 2022 - Elsevier
The most common cause of long-term disability and death in young adults is a traumatic
brain injury. The decision for surgical intervention for craniotomy is dependent on the injury …

[HTML][HTML] Hemorrhagic stroke lesion segmentation using a 3D U-Net with squeeze-and-excitation blocks

V Abramova, A Clerigues, A Quiles… - … Medical Imaging and …, 2021 - Elsevier
Hemorrhagic stroke is the condition involving the rupture of a vessel inside the brain and is
characterized by high mortality rates. Even if the patient survives, stroke can cause …

Dynamic loss weighting for multiorgan segmentation in medical images

Y Song, JYC Teoh, KS Choi… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Deep neural networks often suffer from performance inconsistency for multiorgan
segmentation in medical images; some organs are segmented far worse than others. The …

[HTML][HTML] AI-based decision support system for traumatic brain injury: a survey

F Rajaei, S Cheng, CA Williamson, E Wittrup… - Diagnostics, 2023 - mdpi.com
Traumatic brain injury (TBI) is one of the major causes of disability and mortality worldwide.
Rapid and precise clinical assessment and decision-making are essential to improve the …

IHA-Net: An automatic segmentation framework for computer-tomography of tiny intracerebral hemorrhage based on improved attention U-net

Y Ma, F Ren, W Li, N Yu, D Zhang, Y Li, M Ke - … Signal Processing and …, 2023 - Elsevier
Intracerebral hemorrhage (ICH) is a serious category of head injury, which means bleeding
occurs inside the skull, and in many cases leads to a high disability or mortality. Therefore …

ResAttenGAN: Simultaneous segmentation of multiple spinal structures on axial lumbar MRI image using residual attention and adversarial learning

H Gong, J Liu, B Chen, S Li - Artificial Intelligence in Medicine, 2022 - Elsevier
An axial MRI image of the lumbar spine generally contains multiple spinal structures and
their simultaneous segmentation will help analyze the pathogenesis of the spinal disease …

[HTML][HTML] Predicting vasospasm risk using first presentation aneurysmal subarachnoid hemorrhage volume: A semi-automated CT image segmentation analysis using …

JS Street, AS Pandit, AK Toma - PLoS One, 2023 - journals.plos.org
Purpose Cerebral vasospasm following aneurysmal subarachnoid hemorrhage (aSAH) is a
significant complication associated with poor neurological outcomes. We present a novel …

[HTML][HTML] Automated identification and quantification of traumatic brain injury from CT scans: Are we there yet?

A Hibi, M Jaberipour, MD Cusimano, A Bilbily… - Medicine, 2022 - journals.lww.com
Background: The purpose of this study was to conduct a systematic review for understanding
the availability and limitations of artificial intelligence (AI) approaches that could …