AIMC Topic: Craniocerebral Trauma
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Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study.
Journal of forensic sciences
Jul 8, 2020
Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology practice that has been increasingly used as an ancillary investigation and screening tool. One area of clinical CT imaging that has garnered a lot of resea...
Impact of guidelines for the management of minor head injury on the utilization and diagnostic yield of CT over two decades, using natural language processing in a large dataset.
European radiology
Jan 14, 2019
OBJECTIVES: We investigated the impact of clinical guidelines for the management of minor head injury on utilization and diagnostic yield of head CT over two decades.
Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging.
Radiology
Jul 3, 2017
Purpose To evaluate the performance of an artificial intelligence (AI) tool using a deep learning algorithm for detecting hemorrhage, mass effect, or hydrocephalus (HMH) at non-contrast material-enhanced head computed tomographic (CT) examinations an...
Critical Care
Pattern Recognition, Automated
Head
Radiology Information Systems
Systems Integration
Craniocerebral Trauma
Medical Order Entry Systems
Humans
Sensitivity and Specificity
Machine Learning
Male
Middle Aged
Decision Support Systems, Clinical
Algorithms
Tomography, X-Ray Computed
Female
Reproducibility of Results
Artificial neural networks: Predicting head CT findings in elderly patients presenting with minor head injury after a fall.
The American journal of emergency medicine
Nov 3, 2016
OBJECTIVES: To construct an artificial neural network (ANN) model that can predict the presence of acute CT findings with both high sensitivity and high specificity when applied to the population of patientsā„age 65years who have incurred minor head i...
Development of machine learning prediction model for AKI after craniotomy and evacuation of hematoma in craniocerebral trauma.
Medicine
Nov 1, 2024
The aim of this study was to develop a machine-learning prediction model for AKI after craniotomy and evacuation of hematoma in craniocerebral trauma. We included patients who underwent craniotomy and evacuation of hematoma due to traumatic brain inj...
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 ...
Instantaneous Brain Strain Estimation for Automotive Head Impacts via Deep Learning.
Stapp car crash journal
Nov 1, 2021
Efficient brain strain estimation is critical for routine application of a head injury model. Lately, a convolutional neural network (CNN) has been successfully developed to estimate spatially detailed brain strains instantly and accurately in contac...
Intelligent body behavior feature extraction based on convolution neural network in patients with craniocerebral injury.
Mathematical biosciences and engineering : MBE
Apr 30, 2021
Patients with craniocerebral injury are in serious condition and inconvenient to take care of. This paper proposes a method of extracting the patient's body behavior feature based on convolution neural network, in order to reduce nursing workload and...
Comparison of Machine Learning Optimal Classification Trees With the Pediatric Emergency Care Applied Research Network Head Trauma Decision Rules.
JAMA pediatrics
Jul 1, 2019
IMPORTANCE: Computed tomographic (CT) scanning is the standard for the rapid diagnosis of intracranial injury, but it is costly and exposes patients to ionizing radiation. The Pediatric Emergency Care Applied Research Network (PECARN) rules for ident...
[NEW OPPORTUNITIES IN NEURO-REHABILITATION: ROBOT MEDIATED THERAPY IN CONDITONS POST CENTRAL NERVOUS SYSTEM IMPAIRMENTS].
Ideggyogyaszati szemle
Mar 30, 2016
Decreasing the often-seen multiple disabilities as a consequence of central nervous system impairments requires broadening of the tools of rehabilitation. A promising opportunity for this purpose is the application of physiotherapy robots. The develo...
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