AIMC Topic: Aged, 80 and over

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Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model.

International journal of environmental research and public health Jan 23, 2020
Heart disease is one of the most common diseases in middle-aged citizens. Among the vast number of heart diseases, coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate. The most popular tool for diagno...
Decision Trees Adult Coronary Artery Disease Male Humans Middle Aged Female Aged Diagnosis, Computer-Assisted Aged, 80 and over Support Vector Machine
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A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Jan 22, 2020
PURPOSE: Idiopathic normal pressure hydrocephalus (iNPH) and Alzheimer's disease (AD) are geriatric diseases and common causes of dementia. Recently, many studies on the segmentation, disease detection, or classification of MRI using deep learning ha...
Middle Aged Disease Progression Case-Control Studies Diagnosis, Computer-Assisted Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Magnetic Resonance Imaging Diagnosis, Differential Alzheimer Disease Pattern Recognition, Automated Female Neuroimaging Reproducibility of Results Hydrocephalus, Normal Pressure Humans Aged Artificial Intelligence Aged, 80 and over Brain Male
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Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson's disease.

Artificial intelligence in medicine Jan 21, 2020
Tracking symptoms progression in the early stages of Parkinson's disease (PD) is a laborious endeavor as the disease can be expressed with vastly different phenotypes, forcing clinicians to follow a multi-parametric approach in patient evaluation, lo...
Anxiety Sleep Wake Disorders Aged, 80 and over Cognition Autonomic Nervous System Humans Adult Parkinson Disease Machine Learning Affect Male Prognosis Memory Middle Aged Female Disease Progression Aged
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Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.

European radiology Jan 17, 2020
OBJECTIVES: To build a dual-energy CT (DECT)-based deep learning radiomics nomogram for lymph node metastasis (LNM) prediction in gastric cancer.
Retrospective Studies Lymph Nodes Adult Humans Tomography, X-Ray Computed Nomograms Stomach Neoplasms Adenocarcinoma Prognosis Male Female Lymphatic Metastasis Middle Aged Aged Neoplasm Staging Deep Learning Aged, 80 and over
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Deep learning-based automated speech detection as a marker of social functioning in late-life depression.

Psychological medicine Jan 16, 2020
BACKGROUND: Late-life depression (LLD) is associated with poor social functioning. However, previous research uses bias-prone self-report scales to measure social functioning and a more objective measure is lacking. We tested a novel wearable device ...
Neuropsychological Tests Social Interaction Social Adjustment Deep Learning Speech England Wearable Electronic Devices Attention Humans Female Aged Aged, 80 and over Male Aging Depressive Disorder, Major Case-Control Studies
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Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging.

Clinical cancer research : an official journal of the American Association for Cancer Research Jan 14, 2020
PURPOSE: With increasing incidence of renal mass, it is important to make a pretreatment differentiation between benign renal mass and malignant tumor. We aimed to develop a deep learning model that distinguishes benign renal tumors from renal cell c...
Child Humans Magnetic Resonance Imaging Neural Networks, Computer Carcinoma, Renal Cell Algorithms Diagnosis, Differential Male Retrospective Studies Predictive Value of Tests Middle Aged Female Kidney Neoplasms Deep Learning Aged Adolescent Aged, 80 and over Child, Preschool Young Adult Adult
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Prediction of progression from pre-diabetes to diabetes: Development and validation of a machine learning model.

Diabetes/metabolism research and reviews Jan 14, 2020
AIMS: Identification, a priori, of those at high risk of progression from pre-diabetes to diabetes may enable targeted delivery of interventional programmes while avoiding the burden of prevention and treatment in those at low risk. We studied whethe...
Humans Machine Learning Aged Aged, 80 and over Adult Male Middle Aged Databases, Factual Prognosis Electronic Health Records Female Risk Factors Prediabetic State Diabetes Mellitus Follow-Up Studies Patient Selection Risk Assessment Israel Disease Progression United Kingdom Cohort Studies Time Factors Canada
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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment.

Journal of visualized experiments : JoVE Jan 11, 2020
Mild cognitive impairment (MCI) is the first sign of dementia among elderly populations and its early detection is crucial in our aging societies. Common MCI tests are time-consuming such that indiscriminate massive screening would not be cost-effect...
Male Humans Cognitive Dysfunction Delivery of Health Care Pharmacy Machine Learning ROC Curve Clinical Decision-Making Algorithms Mass Screening Female Neuropsychological Tests Aged Aged, 80 and over
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Deep Natural Language Processing Identifies Variation in Care Preference Documentation.

Journal of pain and symptom management Jan 9, 2020
CONTEXT: Documentation of care preferences within 48 hours of admission to an intensive care unit (ICU) is a National Quality Forum-endorsed quality metric for older adults. Care preferences are poorly captured by administrative data.
Aged Aged, 80 and over Respiration, Artificial Natural Language Processing Documentation Humans Retrospective Studies Intensive Care Units Female
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Bimodal Automated Carotid Ultrasound Segmentation Using Geometrically Constrained Deep Neural Networks.

IEEE journal of biomedical and health informatics Jan 9, 2020
For asymptomatic patients suffering from carotid stenosis, the assessment of plaque morphology is an important clinical task which allows monitoring of the risk of plaque rupture and future incidents of stroke. Ultrasound Imaging provides a safe and ...
Plaque, Atherosclerotic Carotid Stenosis Middle Aged Deep Learning Ultrasonography Image Interpretation, Computer-Assisted Carotid Arteries Humans Neural Networks, Computer Aged Aged, 80 and over Sensitivity and Specificity
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