AIMC Topic: Aged, 80 and over

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Deep learning based automated diagnosis of bone metastases with SPECT thoracic bone images.

Scientific reports Feb 19, 2021
SPECT nuclear medicine imaging is widely used for treating, diagnosing, evaluating and preventing various serious diseases. The automated classification of medical images is becoming increasingly important in developing computer-aided diagnosis syste...
Humans Data Analysis Algorithms Female Bone Neoplasms Image Interpretation, Computer-Assisted Automation Tomography, Emission-Computed, Single-Photon Male Whole Body Imaging Middle Aged Reproducibility of Results Deep Learning Aged ROC Curve Aged, 80 and over Image Processing, Computer-Assisted Adult
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Early risk assessment for COVID-19 patients from emergency department data using machine learning.

Scientific reports Feb 18, 2021
Since its emergence in late 2019, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a pandemic with more than 55 million reported cases and 1.3 million estimated deaths worldwide. While epidemiological and clinical character...
Risk Assessment Respiration, Artificial Disease Progression Hospitals Hospital Mortality ROC Curve Emergency Service, Hospital United Kingdom London Aged Aged, 80 and over Adult Male Middle Aged Female SARS-CoV-2 Risk Factors Hospitalization Humans Machine Learning Pandemics COVID-19 Retrospective Studies
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Machining learning predicts the need for escalated care and mortality in COVID-19 patients from clinical variables.

International journal of medical sciences Feb 18, 2021
This study aimed to develop a machine learning algorithm to identify key clinical measures to triage patients more effectively to general admission versus intensive care unit (ICU) admission and to predict mortality in COVID-19 pandemic. This retro...
Male Intensive Care Units Humans Middle Aged Female Machine Learning New York COVID-19 Aged Aged, 80 and over Retrospective Studies Sensitivity and Specificity
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Use and Control of Artificial Intelligence in Patients Across the Medical Workflow: Single-Center Questionnaire Study of Patient Perspectives.

Journal of medical Internet research Feb 17, 2021
BACKGROUND: Artificial intelligence (AI) is gaining increasing importance in many medical specialties, yet data on patients' opinions on the use of AI in medicine are scarce.
Aged Aged, 80 and over Young Adult Adult Middle Aged Humans Artificial Intelligence Medicine Delivery of Health Care Surveys and Questionnaires Adolescent Workflow Patient Participation
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Thyroid gland delineation in noncontrast-enhanced CTs using deep convolutional neural networks.

Physics in medicine and biology Feb 16, 2021
The purpose of this study is to develop a deep learning method for thyroid delineation with high accuracy, efficiency, and robustness in noncontrast-enhanced head and neck CTs. The cross-sectional analysis consisted of six tests, including randomized...
Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Middle Aged Adolescent Thyroid Gland Thyroid Neoplasms Aged, 80 and over Young Adult Adult Male
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Plasma d-glutamate levels for detecting mild cognitive impairment and Alzheimer's disease: Machine learning approaches.

Journal of psychopharmacology (Oxford, England) Feb 15, 2021
BACKGROUND: d-glutamate, which is involved in N-methyl-d-aspartate receptor modulation, may be associated with cognitive ageing.
Chromatography, High Pressure Liquid Alzheimer Disease Glutamic Acid Case-Control Studies Psychiatric Status Rating Scales Cognitive Dysfunction Diagnosis, Differential Machine Learning Algorithms Humans Biomarkers Female Aged, 80 and over Aged Sensitivity and Specificity Male Middle Aged Severity of Illness Index
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A Low-Cost Three-Dimensional DenseNet Neural Network for Alzheimer's Disease Early Discovery.

Sensors (Basel, Switzerland) Feb 11, 2021
Alzheimer's disease is the most prevalent dementia among the elderly population. Early detection is critical because it can help with future planning for those potentially affected. This paper uses a three-dimensional DenseNet architecture to detect ...
Humans Neural Networks, Computer Middle Aged Female ROC Curve Reproducibility of Results Magnetic Resonance Imaging Aged Alzheimer Disease Aged, 80 and over Early Diagnosis Male
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Using machine learning to investigate the relationship between domains of functioning and functional mobility in older adults.

PloS one Feb 11, 2021
Previous studies have shown that functional mobility, along with other physical functions, decreases with advanced age. However, it is still unclear which domains of functioning (body structures, body functions, and activities) are most closely relat...
Torque Respiration Knee Muscle Strength Postural Balance Body Composition Walking Humans Machine Learning Female Aged Aged, 80 and over Male
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Radiomic Machine Learning Classifiers in Spine Bone Tumors: A Multi-Software, Multi-Scanner Study.

European journal of radiology Feb 10, 2021
PURPOSE: Spinal lesion differential diagnosis remains challenging even in MRI. Radiomics and machine learning (ML) have proven useful even in absence of a standardized data mining pipeline. We aimed to assess ML diagnostic performance in spinal lesio...
Male Middle Aged Adolescent Child Magnetic Resonance Imaging Bone Neoplasms Female Aged Aged, 80 and over Young Adult Adult Humans Machine Learning Software Retrospective Studies
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Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events.

Scientific reports Feb 10, 2021
Radiomics, quantitative feature extraction from radiological images, can improve disease diagnosis and prognostication. However, radiomic features are susceptible to image acquisition and segmentation variability. Ideally, only features robust to the...
Humans Machine Learning Male Middle Aged Image Processing, Computer-Assisted Carotid Arteries Computed Tomography Angiography Algorithms Tomography, X-Ray Computed Female Aged Aged, 80 and over
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