AIMC Topic: Aged, 80 and over

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Non-Standardized Patch-Based ECG Lead Together With Deep Learning Based Algorithm for Automatic Screening of Atrial Fibrillation.

IEEE journal of biomedical and health informatics Mar 13, 2020
This study was to assess the feasibility of using non-standardized single-lead electrocardiogram (ECG) monitoring to automatically detect atrial fibrillation (AF) with special emphasis on the combination of deep learning based algorithm and modified ...
Deep Learning Electrocardiography Equipment Design Signal Processing, Computer-Assisted Atrial Fibrillation Aged, 80 and over Adult Male Middle Aged Diagnosis, Computer-Assisted Humans Neural Networks, Computer Algorithms Female Aged
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Could automated machine-learned MRI grading aid epidemiological studies of lumbar spinal stenosis? Validation within the Wakayama spine study.

BMC musculoskeletal disorders Mar 12, 2020
BACKGROUND: MRI scanning has revolutionized the clinical diagnosis of lumbar spinal stenosis (LSS). However, there is currently no consensus as to how best to classify MRI findings which has hampered the development of robust longitudinal epidemiolog...
Adult Male Middle Aged Magnetic Resonance Imaging Female Lumbar Vertebrae Humans Reproducibility of Results Japan Machine Learning Aged Spinal Stenosis Prospective Studies Aged, 80 and over Outcome Assessment, Health Care Young Adult Observer Variation Reference Standards
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Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?

Acta oncologica (Stockholm, Sweden) Mar 9, 2020
The current standard for evaluating axillary nodal burden in clinically node negative breast cancer is sentinel lymph node biopsy (SLNB). However, the accuracy of SLNB to detect nodal stage N2-3 remains debatable. Nomograms can help the decision-mak...
Aged, 80 and over Adult Breast Neoplasms Middle Aged Sentinel Lymph Node ROC Curve Axilla Biopsy, Fine-Needle Humans Logistic Models Regression Analysis Machine Learning Sentinel Lymph Node Biopsy Lymph Nodes Breast Nomograms Tumor Burden Retrospective Studies Lymphatic Metastasis Carcinoma, Ductal, Breast Female Neoplasm Invasiveness Aged Lymph Node Excision
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Estimating brain age based on a uniform healthy population with deep learning and structural magnetic resonance imaging.

Neurobiology of aging Mar 6, 2020
Numerous studies have established that estimated brain age constitutes a valuable biomarker that is predictive of cognitive decline and various neurological diseases. In this work, we curate a large-scale brain MRI data set of healthy individuals, on...
Humans Brain Female Aged Aged, 80 and over Deep Learning Young Adult Adolescent Adult Magnetic Resonance Imaging Male Datasets as Topic Middle Aged Longevity Healthy Aging
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A Study on the Application of Convolutional Neural Networks to Fall Detection Evaluated with Multiple Public Datasets.

Sensors (Basel, Switzerland) Mar 6, 2020
Due to the repercussion of falls on both the health and self-sufficiency of older people and on the financial sustainability of healthcare systems, the study of wearable fall detection systems (FDSs) has gained much attention during the last years. T...
Humans Neural Networks, Computer Female Reproducibility of Results Aged Aged, 80 and over Accelerometry Young Adult Accidental Falls Adolescent Activities of Daily Living Databases as Topic
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Deep learning radiomics can predict axillary lymph node status in early-stage breast cancer.

Nature communications Mar 6, 2020
Accurate identification of axillary lymph node (ALN) involvement in patients with early-stage breast cancer is important for determining appropriate axillary treatment options and therefore avoiding unnecessary axillary surgery and complications. Her...
Adult Breast Neoplasms Middle Aged Deep Learning Ultrasonography ROC Curve Prospective Studies Prognosis Female Aged Aged, 80 and over Neoplasm Staging Breast Mastectomy Reference Standards Preoperative Period Elasticity Imaging Techniques Image Processing, Computer-Assisted Humans Lymph Nodes Lymphatic Metastasis Lymph Node Excision Axilla
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A pilot trial of Convolution Neural Network for automatic retention-monitoring of capsule endoscopes in the stomach and duodenal bulb.

Scientific reports Mar 5, 2020
The retention of a capsule endoscope (CE) in the stomach and the duodenal bulb during the examination is a troublesome problem, which can make the medical staff spend several hours observing whether the CE enters the descending segment of the duodenu...
Stomach Capsule Endoscopes Foreign Bodies Monitoring, Intraoperative Image Processing, Computer-Assisted Duodenum Automation Capsule Endoscopy Algorithms Retrospective Studies Female Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Middle Aged Adolescent Humans Neural Networks, Computer
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CHD Risk Minimization through Lifestyle Control: Machine Learning Gateway.

Scientific reports Mar 5, 2020
Studies on the influence of a modern lifestyle in abetting Coronary Heart Diseases (CHD) have mostly focused on deterrent health factors, like smoking, alcohol intake, cheese consumption and average systolic blood pressure, largely disregarding the i...
Humans Machine Learning Prognosis Adult Male Middle Aged Diet Adolescent Follow-Up Studies Female Risk Factors Aged Aged, 80 and over Young Adult Coronary Disease Healthy Lifestyle
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Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population.

PloS one Mar 5, 2020
Hypertension is the leading risk factor of cardiovascular disease and has profound effects on both the structure and function of the microvasculature. Abnormalities of the retinal vasculature may reflect the degree of microvascular damage due to hype...
Image Processing, Computer-Assisted Hypertension Adult Humans Microvessels Male Retinal Diseases Algorithms Asia, Eastern Middle Aged Fluorescein Angiography Female Case-Control Studies Retinal Vessels Aged Deep Learning Aged, 80 and over
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A machine learning-based linguistic battery for diagnosing mild cognitive impairment due to Alzheimer's disease.

PloS one Mar 5, 2020
There is a limited evaluation of an independent linguistic battery for early diagnosis of Mild Cognitive Impairment due to Alzheimer's disease (MCI-AD). We hypothesized that an independent linguistic battery comprising of only the language components...
Neuropsychological Tests Linguistics Male Humans Case-Control Studies Machine Learning Cognitive Dysfunction Female Alzheimer Disease Aged, 80 and over Cognition Disorders
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