AIMC Topic: Male

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Feasibility of a Support Vector Machine Classifier for Myofascial Pain Syndrome: Diagnostic Case-Control Study.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Jan 7, 2019
OBJECTIVES: Myofascial pain syndrome (MPS) is the most common cause of chronic pain worldwide. The diagnosis of MPS is subjective, which has created a need for a robust quantitative method of diagnosing MPS. We propose that using a support vector mac...
Humans Algorithms Female Young Adult Adult Sensitivity and Specificity Syndrome Feasibility Studies Superficial Back Muscles Myofascial Pain Syndromes Male Case-Control Studies Ultrasonography Support Vector Machine
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Effects of robot-assisted gait training in patients with Parkinson's disease: study protocol for a randomized controlled trial.

Trials Jan 7, 2019
BACKGROUND: Robot-assisted gait training (RAGT) was developed to restore gait function by promoting neuroplasticity through repetitive locomotor training and has been utilized in gait training. However, contradictory outcomes of RAGT have been report...
Gait Exercise Therapy Outcome Assessment, Health Care Walking Speed Male Parkinson Disease Randomized Controlled Trials as Topic Robotics Single-Blind Method Humans Prospective Studies Female
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Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 7, 2019
BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning ha...
Magnetic Resonance Imaging, Cine Automation Proof of Concept Study Machine Learning Blood Flow Velocity Prospective Studies Aorta Retrospective Studies Aortic Valve Myocardial Perfusion Imaging Female Predictive Value of Tests Reproducibility of Results Humans Heart Diseases Aged Image Interpretation, Computer-Assisted Male Middle Aged Hemodynamics United States
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MRI-based attenuation correction for brain PET/MRI based on anatomic signature and machine learning.

Physics in medicine and biology Jan 7, 2019
Deriving accurate attenuation maps for PET/MRI remains a challenging problem because MRI voxel intensities are not related to properties of photon attenuation and bone/air interfaces have similarly low signal. This work presents a learning-based meth...
Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans Machine Learning Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging Positron-Emission Tomography Aged, 80 and over Young Adult Adult Brain Neoplasms Male
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Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram.

Nature medicine Jan 7, 2019
Asymptomatic left ventricular dysfunction (ALVD) is present in 3-6% of the general population, is associated with reduced quality of life and longevity, and is treatable when found. An inexpensive, noninvasive screening tool for ALVD in the doctor's ...
Myocardial Contraction Humans Neural Networks, Computer Artificial Intelligence Female Aged Aged, 80 and over Middle Aged Adult ROC Curve Sensitivity and Specificity Electrocardiography Male Mass Screening Stroke Volume Heart
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Artificial intelligence for the real-time classification of intrapapillary capillary loop patterns in the endoscopic diagnosis of early oesophageal squamous cell carcinoma: A proof-of-concept study.

United European gastroenterology journal Jan 6, 2019
BACKGROUND: Intrapapillary capillary loops (IPCLs) represent an endoscopically visible feature of early squamous cell neoplasia (ESCN) which correlate with invasion depth - an important factor in the success of curative endoscopic therapy. IPCLs visu...
Neovascularization, Pathologic Esophageal Squamous Cell Carcinoma Esophagoscopy Sensitivity and Specificity Male Image Processing, Computer-Assisted Early Detection of Cancer Humans Taiwan Artificial Intelligence Female Reproducibility of Results
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Classification of gait patterns between patients with Parkinson's disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks.

Neural networks : the official journal of the International Neural Network Society Jan 6, 2019
Parkinson's disease (PD) is a common neurodegenerative disorder that affects human's quality of life, especially leading to locomotor deficits such as postural instability and gait disturbances. Gait signal is one of the best features to characterize...
Parkinson Disease Gait Healthy Volunteers Empirical Research Humans Neural Networks, Computer Female Aged Male Middle Aged Quality of Life
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A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery.

Journal of medical systems Jan 5, 2019
Robot-assisted surgery (RAS) requires a large capital investment by healthcare organizations. The cost of a robotic unit is fixed, so institutions must maximize use of each unit by utilizing all available operating room block time. One way to increas...
Linear Models Operating Rooms Operative Time Robotic Surgical Procedures Sex Factors Efficiency, Organizational Humans Neural Networks, Computer Machine Learning Female Aged Male Comorbidity Severity of Illness Index Age Factors
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Significant shared heritability underlies suicide attempt and clinically predicted probability of attempting suicide.

Molecular psychiatry Jan 4, 2019
Suicide accounts for nearly 800,000 deaths per year worldwide with rates of both deaths and attempts rising. Family studies have estimated substantial heritability of suicidal behavior; however, collecting the sample sizes necessary for successful ge...
White People United Kingdom Tennessee Female Risk Factors Mental Health Male Suicide, Attempted Suicidal Ideation Genome-Wide Association Study Health Surveys Biological Specimen Banks Probability Humans Machine Learning Phenotype Electronic Health Records
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Accuracy of robot-assisted versus optical frameless navigated stereoelectroencephalography electrode placement in children.

Journal of neurosurgery. Pediatrics Jan 4, 2019
OBJECTIVE The aim of this study was to compare the accuracy of optical frameless neuronavigation (ON) and robot-assisted (RA) stereoelectroencephalography (SEEG) electrode placement in children, and to identify factors that might increase the risk of...
Humans Brain Retrospective Studies Magnetic Resonance Imaging Robotics Electroencephalography Brain Waves Female Stereotaxic Techniques Tomography Scanners, X-Ray Computed Male Child, Preschool Drug Resistant Epilepsy Child Electrodes, Implanted Imaging, Three-Dimensional Optical Devices Neuronavigation
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