AIMC Topic: Middle Aged

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Machine learning methods for detecting urinary tract infection and analysing daily living activities in people with dementia.

PloS one Jan 15, 2019
Dementia is a neurological and cognitive condition that affects millions of people around the world. At any given time in the United Kingdom, 1 in 4 hospital beds are occupied by a person with dementia, while about 22% of these hospital admissions ar...
Activities of Daily Living United Kingdom Male Middle Aged Humans Dementia Urinary Tract Infections Machine Learning Female Hospitalization Aged
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Detection of Extraprostatic Extension of Cancer on Biparametric MRI Combining Texture Analysis and Machine Learning: Preliminary Results.

Academic radiology Jan 14, 2019
RATIONALE AND OBJECTIVES: Extraprostatic extension of disease (EPE) has a major role in risk stratification of prostate cancer patients. Currently, pretreatment local staging is performed with MRI, while the gold standard is represented by histopatho...
Aged Magnetic Resonance Imaging Prostatic Neoplasms Male Prostate Neoplasm Invasiveness Middle Aged Neoplasm Staging Predictive Value of Tests Humans Prostatectomy Risk Assessment Bayes Theorem Machine Learning Algorithms Prognosis
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Binomial Logistic Regression and Artificial Neural Network Methods to Classify Opioid-Dependent Subjects and Control Group Using Quantitative EEG Power Measures.

Clinical EEG and neuroscience Jan 14, 2019
Logistic regression (LR) and artificial neural networks (ANNs) are widely referred approaches in medical data classification studies. LR, a statistical fitting model, is suggested in medical problems because of its well-established methodology and co...
Adult Male Humans Middle Aged Signal Processing, Computer-Assisted ROC Curve Neural Networks, Computer Logistic Models Analgesics, Opioid Algorithms Electroencephalography Control Groups Female
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Impact of guidelines for the management of minor head injury on the utilization and diagnostic yield of CT over two decades, using natural language processing in a large dataset.

European radiology Jan 14, 2019
OBJECTIVES: We investigated the impact of clinical guidelines for the management of minor head injury on utilization and diagnostic yield of head CT over two decades.
Humans Algorithms Female Male Middle Aged Glasgow Coma Scale Natural Language Processing Retrospective Studies Emergency Service, Hospital Tomography, X-Ray Computed Guidelines as Topic Craniocerebral Trauma
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Automated analysis of cardiovascular magnetic resonance myocardial native T mapping images using fully convolutional neural networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jan 14, 2019
BACKGROUND: Cardiovascular magnetic resonance (CMR) myocardial native T mapping allows assessment of interstitial diffuse fibrosis. In this technique, the global and regional T are measured manually by drawing region of interest in motion-corrected T...
Reproducibility of Results Aged Adult Male Humans Prospective Studies Female Predictive Value of Tests Myocardium Workflow Image Interpretation, Computer-Assisted Observer Variation Cardiovascular Diseases Middle Aged Deep Learning Magnetic Resonance Imaging Automation
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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...
Deep Learning Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Artifacts Female Neuroimaging Adult Male Middle Aged Humans Software Brain
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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.
Sensitivity and Specificity Male Middle Aged Shock, Septic Female Sepsis Predictive Value of Tests Humans Cohort Studies Reproducibility of Results Prospective Studies Interleukin-3 Hospital Mortality Aged Prognosis Adult Intensive Care Units
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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 ...
Trauma Severity Indices Sensitivity and Specificity Male Middle Aged Blood Transfusion Quality Improvement Laparotomy Abdominal Injuries Clinical Decision-Making Blood Pressure Humans Female Patient Selection Machine Learning Young Adult Algorithms Adult Retrospective Studies
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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...
Middle Aged Deep Learning Models, Theoretical Acute Coronary Syndrome Neural Networks, Computer Humans Female Prognosis Hospitalization Electronic Health Records Aged Male
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A renaissance of teleophthalmology through artificial intelligence.

Eye (London, England) Jan 8, 2019
Humans Male Middle Aged Ophthalmology Telemedicine Disease Management Diabetic Retinopathy Artificial Intelligence Clinical Decision-Making Female
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