AIMC Topic: Humans

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Frameless robot-assisted stereoelectroencephalography for refractory epilepsy in pediatric patients: accuracy, usefulness, and technical issues.

Acta neurochirurgica Nov 9, 2018
BACKGROUND: Stereoelectroencephalography (SEEG) is an effective technique to help to locate and to delimit the epileptogenic area and/or to define relationships with functional cortical areas. We intend to describe the surgical technique and verify t...
Stereotaxic Techniques Drug Resistant Epilepsy Electrodes, Implanted Child Robotics Electroencephalography Postoperative Complications Adolescent Child, Preschool Humans Clinical Decision-Making Female Male
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Estimation of Neonatal Intestinal Perforation Associated with Necrotizing Enterocolitis by Machine Learning Reveals New Key Factors.

International journal of environmental research and public health Nov 9, 2018
Intestinal perforation (IP) associated with necrotizing enterocolitis (NEC) is one of the leading causes of mortality in premature neonates; with major nutritional and neurodevelopmental sequelae. Since predicting which neonates will develop perforat...
Machine Learning Female Infant, Newborn Young Adult Adult Adolescent Male Intestinal Perforation Humans Enterocolitis, Necrotizing Neural Networks, Computer
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Multiple Human-Behaviour Indicators for Predicting Lung Cancer Mortality with Support Vector Machine.

Scientific reports Nov 9, 2018
Lung cancer is still one of the most common causes of death around the world, while there is overwhelming evidence that the environment and lifestyle factors are predominant causes of most sporadic cancers. However, when applying human-behaviour indi...
Aged, 80 and over Male Lung Neoplasms Female Risk Factors Aged Smoking Alcohol Drinking Feeding Behavior Socioeconomic Factors Support Vector Machine Environmental Exposure Humans Neural Networks, Computer Databases, Factual
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Temporal separation of Cerenkov radiation and scintillation using a clinical LINAC and artificial intelligence.

Physics in medicine and biology Nov 9, 2018
Convolutional neural network (CNN) type artificial intelligences were trained to estimate the Cerenkov radiation present in the temporal response of a LINAC irradiated scintillator-fiber optic dosimeter. The CNN estimate of Cerenkov radiation is subt...
Scintillation Counting Humans Radiotherapy Dosage Neural Networks, Computer Particle Accelerators Fiber Optic Technology Radiation Dosimeters
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[Robotic systems for care at home: A scoping review].

Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen Nov 9, 2018
BACKGROUND: In the future, modern technologies could make a significant contribution to a self-determined life in one's own environment when in need of care. Robots might alleviate everyday domestic life and promote participation. In the nursing scie...
Humans Family Robotics Home Care Services Germany
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Mortality prediction in patients with isolated moderate and severe traumatic brain injury using machine learning models.

PloS one Nov 9, 2018
BACKGROUND: The purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain injury (TBI).
Young Adult Adult Male Abbreviated Injury Scale Female Taiwan Aged Humans Predictive Value of Tests Aged, 80 and over Neural Networks, Computer Bayes Theorem Middle Aged Support Vector Machine Machine Learning ROC Curve Brain Injuries, Traumatic Logistic Models Decision Trees
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Operational and Financial Considerations of Using Drones for Medical Support of Mass Events in Poland.

Disaster medicine and public health preparedness Nov 8, 2018
OBJECTIVE: The implementation of drones in the medical security system requires a proper planning of the cooperation of different services, dividing the area into sectors, assessing potential risks, and other factors. This study refers to the cost an...
Robotics Mass Casualty Incidents Medical Assistance Humans Poland
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Combined Low Dose Rate Brachytherapy and External Beam Radiation Therapy for Intermediate-Risk Prostate Cancer.

Journal of medical imaging and radiation sciences Nov 8, 2018
INTRODUCTION: This is a retrospective study conducted to report the tumor control and late toxicity outcomes of patients with intermediate-risk prostate cancer undergoing combination external beam radiation therapy and low dose rate brachytherapy (LD...
Middle Aged Prostatic Neoplasms Brachytherapy Aged Humans Aged, 80 and over Retrospective Studies Male
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Computer vs human: Deep learning versus perceptual training for the detection of neck of femur fractures.

Journal of medical imaging and radiation oncology Nov 8, 2018
INTRODUCTION: To evaluate the accuracy of deep convolutional neural networks (DCNNs) for detecting neck of femur (NoF) fractures on radiographs, in comparison with perceptual training in medically-naïve individuals.
Neural Networks, Computer Deep Learning Femoral Neck Fractures Humans Datasets as Topic
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Neuroevolution of a Modular Memory-Augmented Neural Network for Deep Memory Problems.

Evolutionary computation Nov 8, 2018
We present Modular Memory Units (MMUs), a new class of memory-augmented neural network. MMU builds on the gated neural architecture of Gated Recurrent Units (GRUs) and Long Short Term Memory (LSTMs), to incorporate an external memory block, similar t...
Memory Humans Biological Evolution Neural Networks, Computer Algorithms Deep Learning Models, Neurological
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