AIMC Topic: Male

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Hypofractionated Robotic Stereotactic Radiosurgery for Vagal Paragangliomas: A Novel Treatment Strategy for Cranial Nerve Preservation.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery Mar 3, 2020
OBJECTIVE: To provide the first description of hypofractionated stereotactic radiosurgery (SRS) and evaluate tumor control and safety for vagal paragangliomas (VPs), which begin at the skull base but often have significant extracranial extension.
Young Adult Adult Male Middle Aged Adolescent Humans Retrospective Studies Tomography, X-Ray Computed Female Neoplasm Staging Radiosurgery Vagus Nerve Cranial Nerve Neoplasms Paraganglioma Treatment Outcome Follow-Up Studies Magnetic Resonance Imaging Robotics
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Identification of elders at higher risk for fall with statewide electronic health records and a machine learning algorithm.

International journal of medical informatics Mar 3, 2020
OBJECTIVE: Predicting the risk of falls in advance can benefit the quality of care and potentially reduce mortality and morbidity in the older population. The aim of this study was to construct and validate an electronic health record-based fall risk...
Parkinson Disease Maine Risk Assessment Comorbidity Accidental Falls Humans Cohort Studies Machine Learning Algorithms Electronic Health Records Aged Aged, 80 and over Male Female Risk Factors
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AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining.

Scientific reports Mar 3, 2020
The development of deep learning algorithms for complex tasks in digital medicine has relied on the availability of large labeled training datasets, usually containing hundreds of thousands of examples. The purpose of this study was to develop a 3D d...
Humans Algorithms Female Adult Middle Aged Cross-Sectional Studies Deep Learning Male Appendicitis
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Pragmatics, Theory of Mind and executive functions in schizophrenia: Disentangling the puzzle using machine learning.

PloS one Mar 3, 2020
OBJECTIVE: Schizophrenia is associated with a severe impairment in the communicative-pragmatic domain. Recent research has tried to disentangle the relationship between communicative impairment and other domains usually impaired in schizophrenia, i.e...
Theory of Mind Case-Control Studies Cognition Executive Function Adult Models, Psychological Bayes Theorem Humans Social Communication Disorder Schizophrenia Communication Linguistics Memory, Short-Term Machine Learning Schizophrenic Psychology Male Neuropsychological Tests Female Middle Aged Young Adult
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Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours.

European journal of radiology Mar 2, 2020
PURPOSE: To evaluate the performance of machine-learning-based computed tomography (CT) radiomic analysis to differentiate high-risk thymic epithelial tumours (TETs) from low-risk TETs according to the WHO classification.
Thymus Gland Area Under Curve Image Interpretation, Computer-Assisted Neoplasms, Glandular and Epithelial Thymus Neoplasms Retrospective Studies Tomography, X-Ray Computed Female Aged Male Middle Aged ROC Curve Young Adult Adult Humans Machine Learning
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A-phase classification using convolutional neural networks.

Medical & biological engineering & computing Mar 2, 2020
A series of short events, called A-phases, can be observed in the human electroencephalogram (EEG) during Non-Rapid Eye Movement (NREM) sleep. These events can be classified in three groups (A1, A2, and A3) according to their spectral contents, and a...
Humans Neural Networks, Computer Deep Learning Female Electroencephalography Young Adult Signal Processing, Computer-Assisted Adult Sleep Stages Male
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Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging.

JAMA network open Mar 2, 2020
IMPORTANCE: Predicting infarct size and location is important for decision-making and prognosis in patients with acute stroke.
Humans Prognosis Retrospective Studies Female Magnetic Resonance Imaging Patient Selection Brain Ischemia Aged Male Middle Aged Deep Learning
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EMR-Based Phenotyping of Ischemic Stroke Using Supervised Machine Learning and Text Mining Techniques.

IEEE journal of biomedical and health informatics Feb 28, 2020
Ischemic stroke is a major cause of death and disability in adulthood worldwide. Because it has highly heterogeneous phenotypes, phenotyping of ischemic stroke is an essential task for medical research and clinical prognostication. However, this task...
Supervised Machine Learning Data Mining Humans Male Algorithms Diagnosis, Computer-Assisted Electronic Health Records Natural Language Processing Female Ischemic Stroke Aged
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CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.

European radiology Feb 28, 2020
PURPOSE: Spread through air space (STAS) is a novel invasive pattern of lung adenocarcinoma and is also a risk factor for recurrence and worse prognosis of lung adenocarcinoma. The aims of this study are to develop and validate a computed tomography ...
Humans Machine Learning Female Risk Factors Sensitivity and Specificity Retrospective Studies Tomography, X-Ray Computed Lung Neoplasms Logistic Models Male Neoplasm Invasiveness Middle Aged Neoplasm Recurrence, Local ROC Curve Adenocarcinoma of Lung Image Processing, Computer-Assisted
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Using machine learning to classify suicide attempt history among youth in medical care settings.

Journal of affective disorders Feb 28, 2020
BACKGROUND: The current study aimed to classify recent and lifetime suicide attempt history among youth presenting to medical settings using machine learning (ML) as applied to a behavioral health screen self-report survey.
Machine Learning Cross-Sectional Studies Suicidal Ideation Self-Injurious Behavior Male Algorithms Humans Emergency Service, Hospital Pennsylvania Female Suicide, Attempted Adolescent Risk Factors
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