AIMC Topic: Aged, 80 and over

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Continuous Wearable Monitoring Analytics Predict Heart Failure Hospitalization: The LINK-HF Multicenter Study.

Circulation. Heart failure Feb 25, 2020
BACKGROUND: Implantable cardiac sensors have shown promise in reducing rehospitalization for heart failure (HF), but the efficacy of noninvasive approaches has not been determined. The objective of this study was to determine the accuracy of noninvas...
Smartphone Humans United States Predictive Value of Tests Machine Learning Equipment Design Prognosis Heart Failure Patient Readmission Female Cloud Computing Reproducibility of Results Male Telemetry Risk Factors Middle Aged Aged Risk Assessment Aged, 80 and over Diagnosis, Computer-Assisted Wearable Electronic Devices Time Factors
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Macular Ganglion Cell-Inner Plexiform Layer Thickness Prediction from Red-free Fundus Photography using Hybrid Deep Learning Model.

Scientific reports Feb 24, 2020
We developed a hybrid deep learning model (HDLM) algorithm that quantitatively predicts macular ganglion cell-inner plexiform layer (mGCIPL) thickness from red-free retinal nerve fiber layer photographs (RNFLPs). A total of 789 pairs of RNFLPs and sp...
Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Intraocular Pressure Male Humans Glaucoma Algorithms Retrospective Studies Female Diagnostic Techniques, Ophthalmological Refractometry Regression Analysis Optic Nerve Tomography, Optical Coherence Fundus Oculi Translational Research, Biomedical Retinal Ganglion Cells Middle Aged Case-Control Studies Diagnosis, Computer-Assisted Deep Learning ROC Curve Support Vector Machine
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A combination of 3-D discrete wavelet transform and 3-D local binary pattern for classification of mild cognitive impairment.

BMC medical informatics and decision making Feb 21, 2020
BACKGROUND: The detection of Alzheimer's Disease (AD) in its formative stages, especially in Mild Cognitive Impairments (MCI), has the potential of helping the clinicians in understanding the condition. The literature review shows that the classifica...
Humans Machine Learning Algorithms Decision Support Techniques Female Aged Aged, 80 and over Sensitivity and Specificity Male Cognitive Dysfunction Support Vector Machine Magnetic Resonance Imaging Alzheimer Disease Wavelet Analysis
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Machine learning helps identifying volume-confounding effects in radiomics.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 20, 2020
Highlighting the risk of biases in radiomics-based models will help improve their quality and increase usage as decision support systems in the clinic. In this study we use machine learning-based methods to identify the presence of volume-confounding...
Oropharyngeal Neoplasms Carcinoma, Non-Small-Cell Lung Cluster Analysis Regression Analysis Principal Component Analysis Radiometry Databases, Factual Laryngeal Neoplasms Adult Retrospective Studies Male Tomography, X-Ray Computed Humans Middle Aged Female Machine Learning Decision Support Systems, Clinical Carcinoma, Squamous Cell Software Lung Neoplasms Aged Algorithms Squamous Cell Carcinoma of Head and Neck Aged, 80 and over
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A Machine-learning Approach to Forecast Aggravation Risk in Patients with Acute Exacerbation of Chronic Obstructive Pulmonary Disease with Clinical Indicators.

Scientific reports Feb 20, 2020
Patients with chronic obstructive pulmonary disease (COPD) repeat acute exacerbations (AE). Global Initiative for Chronic Obstructive Lung Disease (GOLD) is only available for patients in stable phase. Currently, there is a lack of assessment and pre...
Adult Pulmonary Disease, Chronic Obstructive Male Middle Aged Disease Progression Comorbidity Prognosis ROC Curve Female Decision Support Systems, Clinical Humans Reproducibility of Results Inflammation Machine Learning Models, Statistical Hospitalization Algorithms Decision Trees Aged False Positive Reactions Aged, 80 and over Risk
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Automatic opportunistic osteoporosis screening using low-dose chest computed tomography scans obtained for lung cancer screening.

European radiology Feb 19, 2020
OBJECTIVE: Osteoporosis is a prevalent and treatable condition, but it remains underdiagnosed. In this study, a deep learning-based system was developed to automatically measure bone mineral density (BMD) for opportunistic osteoporosis screening usin...
Humans Mass Screening Bone Density Early Detection of Cancer Osteoporosis Female Spine Tomography, X-Ray Computed Aged Bone Diseases, Metabolic Aged, 80 and over Male Middle Aged Deep Learning Lung Neoplasms
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Measuring the impact of age, gender and dementia on communication-robot interventions in residential care homes.

Geriatrics & gerontology international Feb 19, 2020
AIM: The primary aim of this study was to examine the impact of age, gender and the stage of dementia on the results of an assistive technology intervention that make use of communication robots (com-robots). The intervention was designed to improve ...
Robotics Japan Sex Factors Nursing Homes Self-Help Devices Homes for the Aged Male Quality of Life Disease Progression Humans Dementia Delivery of Health Care Cohort Studies Female Age Factors Aged Aged, 80 and over Communication
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Ethical concerns around use of artificial intelligence in health care research from the perspective of patients with meningioma, caregivers and health care providers: a qualitative study.

CMAJ open Feb 18, 2020
BACKGROUND: As artificial intelligence (AI) approaches in research increase and AI becomes more integrated into medicine, there is a need to understand perspectives from members of the Canadian public and medical community. The aim of this project wa...
Ethics, Medical Young Adult Caregivers Humans Adult Health Services Research Artificial Intelligence Male Meningioma Health Personnel Middle Aged Female Qualitative Research Aged Canada Aged, 80 and over
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Deep Learning-Based Quantification of Epicardial Adipose Tissue Volume and Attenuation Predicts Major Adverse Cardiovascular Events in Asymptomatic Subjects.

Circulation. Cardiovascular imaging Feb 17, 2020
BACKGROUND: Epicardial adipose tissue (EAT) volume (cm) and attenuation (Hounsfield units) may predict major adverse cardiovascular events (MACE). We aimed to evaluate the prognostic value of fully automated deep learning-based EAT volume and attenua...
Predictive Value of Tests Coronary Angiography Coronary Artery Disease Coronary Vessels Vascular Calcification Asymptomatic Diseases Aged, 80 and over Male Middle Aged Risk Assessment Deep Learning Adipose Tissue Pericardium Humans Prognosis Tomography, X-Ray Computed Female Risk Factors Aged
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Identifying treatment effects of an informal caregiver education intervention to increase days in the community and decrease caregiver distress: a machine-learning secondary analysis of subgroup effects in the HI-FIVES randomized clinical trial.

Trials Feb 14, 2020
BACKGROUND: Informal caregivers report substantial burden and depressive symptoms which predict higher rates of patient institutionalization. While caregiver education interventions may reduce caregiver distress and decrease the use of long-term inst...
Female Aged Aged, 80 and over Male Middle Aged Quality of Life Humans Randomized Controlled Trials as Topic Machine Learning Data Interpretation, Statistical Veterans Depression Family Stress, Psychological Caregivers Cognitive Dysfunction Institutionalization Treatment Outcome Long-Term Care Follow-Up Studies Age Factors
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