AIMC Topic: Hematoma, Subdural

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Deep learning segmentation-based bone removal from computed tomography of the brain improves subdural hematoma detection.

Journal of neuroradiology = Journal de neuroradiologie Nov 8, 2024
PURPOSE: Timely identification of intracranial blood products is clinically impactful, however the detection of subdural hematoma (SDH) on non-contrast CT scans of the head (NCCTH) is challenging given interference from the adjacent calvarium. This w...
Tomography, X-Ray Computed Female Humans Algorithms Radiographic Image Interpretation, Computer-Assisted Skull Male Hematoma, Subdural Deep Learning
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Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis.

Journal of neurointerventional surgery May 31, 2023
Hematoma, Subdural, Chronic Tomography, X-Ray Computed Humans Deep Learning Systematic Reviews as Topic Meta-Analysis as Topic Hematoma, Subdural
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Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis.

Journal of neurointerventional surgery Nov 23, 2022
BACKGROUND: This study aimed to investigate the application of deep learning (DL) models for the detection of subdural hematoma (SDH).
Bias Hematoma, Subdural Bayes Theorem Humans Sensitivity and Specificity Deep Learning
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Evaluation of Traumatic Subdural Hematoma Volume by Using Image Segmentation Assessment Based on Deep Learning.

Computational and mathematical methods in medicine Jun 28, 2022
Rapid and accurate evaluations of hematoma volume can guide the treatment of traumatic subdural hematoma. We aim to explore the consistency between the measurement results of traumatic subdural hematoma (TSDH) using a deep learn-based image segmentat...
Image Processing, Computer-Assisted Hematoma Retrospective Studies Deep Learning Humans Neural Networks, Computer Hematoma, Subdural
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Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model.

Computers in biology and medicine Apr 18, 2022
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 type and the patient's neurologic exam. The potential subtypes of in...
Hematoma, Subdural Neural Networks, Computer Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted Young Adult Brain Injuries, Traumatic Deep Learning
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A natural language processing algorithm to extract characteristics of subdural hematoma from head CT reports.

Emergency radiology Jan 28, 2019
PURPOSE: Subdural hematoma (SDH) is the most common form of traumatic intracranial hemorrhage, and radiographic characteristics of SDH are predictive of complications and patient outcomes. We created a natural language processing (NLP) algorithm to e...
Trauma Centers Reproducibility of Results Humans Hematoma, Subdural Natural Language Processing Tomography, X-Ray Computed
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Intelligent Recognition and Segmentation of Blunt Craniocerebral Injury CT Images Based on DeepLabV3+ Model.

Fa yi xue za zhi Oct 25, 2024
OBJECTIVES: To achieve intelligent recognition and segmentation of common craniocerebral injuries (hereinafter referred to as "segmentation") by training convolutional neural network DeepLabV3+ model based on CT images of blunt craniocerebral injury ...
Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Head Injuries, Closed Hematoma, Subdural Brain Contusion Hematoma, Epidural, Cranial Forensic Medicine Craniocerebral Trauma Image Processing, Computer-Assisted Skull Fractures
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How artificial intelligence can provide information about subdural hematoma: Assessment of readability, reliability, and quality of ChatGPT, BARD, and perplexity responses.

Medicine May 3, 2024
Subdural hematoma is defined as blood collection in the subdural space between the dura mater and arachnoid. Subdural hematoma is a condition that neurosurgeons frequently encounter and has acute, subacute and chronic forms. The incidence in adults i...
Comprehension Hematoma, Subdural Reproducibility of Results Cross-Sectional Studies Humans Artificial Intelligence
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Response to 'Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis'.

Journal of neurointerventional surgery Oct 1, 2023
Meta-Analysis as Topic Hematoma, Subdural Deep Learning Systematic Reviews as Topic Humans
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