AIMC Topic: Brain Injuries

Clear Filters Showing 51 to 60 of 67 articles

Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury.

Health economics Jun 8, 2015
For a continuous treatment, the generalised propensity score (GPS) is defined as the conditional density of the treatment, given covariates. GPS adjustment may be implemented by including it as a covariate in an outcome regression. Here, the unbiased...
Critical Care Propensity Score Continuity of Patient Care Adult Treatment Outcome Brain Injuries Machine Learning Algorithms Humans
View on PubMed DOI

Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology Mar 17, 2015
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Multivariate Analysis Retrospective Studies Injury Severity Score Tomography, X-Ray Computed Vomiting Unconsciousness Humans Female Brain Injuries Child, Preschool Male ROC Curve Machine Learning Child Population Surveillance Case-Control Studies Logistic Models Algorithms Models, Theoretical Databases, Factual Accidents, Traffic Skull Fractures
View on PubMed DOI

Robotic-assisted gait training in neurological patients: who may benefit?

Annals of biomedical engineering Feb 28, 2015
Regaining one's ability to walk is of great importance for neurological patients and is a major goal of all rehabilitation programs. Gait training of severely affected patients after the neurological event is technically difficult because of their mo...
Multiple Sclerosis Spinal Cord Injuries Stroke Rehabilitation Humans Brain Injuries Robotics Gait
View on PubMed DOI

Permutation entropy analysis of vital signs data for outcome prediction of patients with severe traumatic brain injury.

Computers in biology and medicine Nov 15, 2014
Permutation entropy is computationally efficient, robust to outliers, and effective to measure complexity of time series. We used this technique to quantify the complexity of continuous vital signs recorded from patients with traumatic brain injury (...
Trauma Severity Indices Brain Injuries Humans Predictive Value of Tests Vital Signs Artificial Intelligence Databases, Factual
View on PubMed DOI

The first step in using a robot in brain injury rehabilitation: patients' and health-care professionals' perspective.

Disability and rehabilitation. Assistive technology Apr 28, 2014
PURPOSE: To evaluate the usability of a mobile telepresence robot (MTR) in a hospital training apartment (HTA). The MTR was manoeuvred remotely and was used for communication when assessing independent living skills, and for security monitoring of co...
User-Computer Interface Brain Injuries Robotics Occupational Therapy Middle Aged Nurses Humans Attitude of Health Personnel Female Communication Cognition Disorders Male Aged Independent Living Adult Videoconferencing
View on PubMed DOI

Automatic Identification of Brain Injury Mechanism Based on Deep Learning.

Fa yi xue za zhi Apr 25, 2022
OBJECTIVES: To apply the convolutional neural network (CNN) Inception_v3 model in automatic identification of acceleration and deceleration injury based on CT images of brain, and to explore the application prospect of deep learning technology in for...
Humans Neural Networks, Computer Brain Deep Learning Brain Injuries
View on PubMed DOI

[Evaluation of brain injury caused by stick type blunt instruments based on convolutional neural network and finite element method].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Apr 25, 2022
The finite element method is a new method to study the mechanism of brain injury caused by blunt instruments. But it is not easy to be applied because of its technology barrier of time-consuming and strong professionalism. In this study, a rapid and ...
Brain Computer Simulation Brain Injuries Finite Element Analysis Humans Neural Networks, Computer
View on PubMed DOI

Inverting the Turing Test - Machine Learning to Detect Cognition in the ICU.

The New England journal of medicine Jun 27, 2019
Humans Machine Learning Brain Intensive Care Units Cognition Brain Injuries
View on PubMed DOI

Detection of Brain Activation in Unresponsive Patients with Acute Brain Injury.

The New England journal of medicine Jun 27, 2019
BACKGROUND: Brain activation in response to spoken motor commands can be detected by electroencephalography (EEG) in clinically unresponsive patients. The prevalence and prognostic importance of a dissociation between commanded motor behavior and bra...
Humans Prospective Studies Brain Prognosis Unconsciousness Neurologic Examination Glasgow Coma Scale Support Vector Machine Brain Injuries Area Under Curve Glasgow Outcome Scale Motor Activity Electroencephalography Reference Values Adult Male Middle Aged Cognition Intensive Care Units Female Aged
View on PubMed DOI

Ankle passive and active movement training in children with acute brain injury using a wearable robot.

Journal of rehabilitation medicine Jan 10, 2018
OBJECTIVE: To evaluate the feasibility and effectiveness of a wearable robotic device in guiding isometric torque generation and passive-active movement training for ankle motor recovery in children with acute brain injury.
Ankle Joint Brain Injuries Robotics Range of Motion, Articular Humans Female Young Adult Adolescent Child Adult Male
View on PubMed DOI
Popular Topics
Recent Journals