AIMC Topic: Male

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Optimization based trajectory planning for real-time 6DoF robotic patient motion compensation systems.

PloS one Jan 11, 2019
PURPOSE: Robotic stabilization of a therapeutic radiation beam with respect to a dynamically moving tumor target can be accomplished either by moving the radiation source, the patient, or both. As the treatment beam is on during this process, the pri...
Humans Computer Simulation Patient Positioning Phantoms, Imaging Head Movements Male Robotic Surgical Procedures Computer Systems Robotics Prostatic Neoplasms Motion Radiotherapy Planning, Computer-Assisted Radiosurgery
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EEG-Based Spatio-Temporal Convolutional Neural Network for Driver Fatigue Evaluation.

IEEE transactions on neural networks and learning systems Jan 10, 2019
Driver fatigue evaluation is of great importance for traffic safety and many intricate factors would exacerbate the difficulty. In this paper, based on the spatial-temporal structure of multichannel electroencephalogram (EEG) signals, we develop a no...
Young Adult Adult Male Virtual Reality Photic Stimulation Time Factors Humans Electroencephalography Neural Networks, Computer Automobile Driving Female Fatigue
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Evolving Gaussian Process Autoregression Based Learning of Human Motion Intent Using Improved Energy Kernel Method of EMG.

IEEE transactions on bio-medical engineering Jan 10, 2019
Continuous human motion intent learning may be modeled using a Gaussian process (GP) autoregression based evolving system to cope with the unspecified and time-varying motion patterns. Electromyography (EMG) signals are the primary input. GP is used ...
Machine Learning Algorithms Young Adult Adult Biomechanical Phenomena Humans Normal Distribution Exoskeleton Device Male Signal Processing, Computer-Assisted Electromyography Intention
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Improving the Quality of Synthetic FLAIR Images with Deep Learning Using a Conditional Generative Adversarial Network for Pixel-by-Pixel Image Translation.

AJNR. American journal of neuroradiology Jan 10, 2019
BACKGROUND AND PURPOSE: Synthetic FLAIR images are of lower quality than conventional FLAIR images. Here, we aimed to improve the synthetic FLAIR image quality using deep learning with pixel-by-pixel translation through conditional generative adversa...
Artifacts Neuroimaging Middle Aged Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Humans Female Adult Male Software Brain
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Prediction of Recurrence after Transsphenoidal Surgery for Cushing's Disease: The Use of Machine Learning Algorithms.

Neuroendocrinology Jan 10, 2019
BACKGROUND: There are no reliable predictive models for recurrence after transsphenoidal surgery (TSS) for Cushing's disease (CD).
Data Mining Recurrence Pituitary ACTH Hypersecretion Algorithms Retrospective Studies Female Risk Factors Young Adult Adult Male Models, Statistical Humans Machine Learning
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Computational prediction of diagnosis and feature selection on mesothelioma patient health records.

PloS one Jan 10, 2019
BACKGROUND: Mesothelioma is a lung cancer that kills thousands of people worldwide annually, especially those with exposure to asbestos. Diagnosis of mesothelioma in patients often requires time-consuming imaging techniques and biopsies. Machine lear...
Machine Learning Female Male Computational Biology Humans Regression Analysis Health Records, Personal Mesothelioma
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Role of interleukin-3 as a prognostic marker in septic patients.

Revista Brasileira de terapia intensiva Jan 10, 2019
OBJECTIVE: To evaluate the accuracy of IL-3 to predict the outcome of septic patients.
Interleukin-3 Sensitivity and Specificity Cohort Studies Male Female Hospital Mortality Humans Middle Aged Reproducibility of Results Shock, Septic Prospective Studies Sepsis Aged Predictive Value of Tests Prognosis Adult Intensive Care Units
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Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling.

Addiction biology Jan 9, 2019
Arterial spin labeling (ASL) magnetic resonance imaging has been widely applied to identify cerebral blood flow (CBF) abnormalities in a number of brain disorders. To evaluate its significance in detecting methamphetamine (MA) dependence, this study ...
Adult Male Case-Control Studies ROC Curve Humans Brain Young Adult Methamphetamine Amphetamine-Related Disorders Imaging, Three-Dimensional Cerebrovascular Circulation Support Vector Machine Perfusion Imaging Magnetic Resonance Imaging Spin Labels Area Under Curve
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Using Machine Learning to Identify Change in Surgical Decision Making in Current Use of Damage Control Laparotomy.

Journal of the American College of Surgeons Jan 9, 2019
BACKGROUND: In an earlier study, we reported the successful reduction in the use of damage control laparotomy (DCL); however, no change in the relative frequencies of specific indications was observed. In this study, we aimed to use machine learning ...
Blood Pressure Patient Selection Quality Improvement Laparotomy Abdominal Injuries Sensitivity and Specificity Humans Clinical Decision-Making Trauma Severity Indices Male Machine Learning Female Middle Aged Algorithms Young Adult Blood Transfusion Retrospective Studies Adult
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Utilizing dynamic treatment information for MACE prediction of acute coronary syndrome.

BMC medical informatics and decision making Jan 9, 2019
BACKGROUND: Main adverse cardiac events (MACE) are essentially composite endpoints for assessing safety and efficacy of treatment processes of acute coronary syndrome (ACS) patients. Timely prediction of MACE is highly valuable for improving the effe...
Acute Coronary Syndrome Prognosis Humans Electronic Health Records Female Aged Neural Networks, Computer Middle Aged Hospitalization Male Deep Learning Models, Theoretical
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