AIMC Topic: Aged, 80 and over

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Automated quantification of reference levels in liver and mediastinal blood pool for the Deauville therapy response classification using FDG-PET/CT in Hodgkin and non-Hodgkin lymphomas.

Clinical physiology and functional imaging Oct 3, 2018
BACKGROUND: 18F-FDG-PET/CT has become a standard for assessing treatment response in patients with lymphoma. A subjective interpretation of the scan based on the Deauville 5-point scale has been widely adopted. However, inter-observer variability due...
Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Humans Neural Networks, Computer Lymphoma, Non-Hodgkin Image Interpretation, Computer-Assisted Automation Fluorodeoxyglucose F18 Mediastinum Hodgkin Disease Treatment Outcome Liver Predictive Value of Tests Positron Emission Tomography Computed Tomography Radiopharmaceuticals Young Adult Adult Male Middle Aged Adolescent
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Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles.

BMC geriatrics Oct 3, 2018
BACKGROUND: The conventional scores of the neuropsychological batteries are not fully optimized for diagnosing dementia despite their variety and abundance of information. To achieve low-cost high-accuracy diagnose performance for dementia using a ne...
Dementia Cohort Studies Cognition Longitudinal Studies Alzheimer Disease Aged Aged, 80 and over Male Middle Aged Deep Learning Cost-Benefit Analysis Neuropsychological Tests Cognitive Aging Humans Republic of Korea Female
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3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.

Cancer research Oct 2, 2018
: Identification of early-stage pulmonary adenocarcinomas before surgery, especially in cases of subcentimeter cancers, would be clinically important and could provide guidance to clinical decision making. In this study, we developed a deep learning ...
Young Adult Adult Male Middle Aged Humans Diagnosis, Computer-Assisted Neural Networks, Computer Adenocarcinoma Precision Medicine Retrospective Studies Neoplasm Invasiveness Prognosis Deep Learning Tomography, X-Ray Computed Female Aged Aged, 80 and over Adolescent Imaging, Three-Dimensional Image Processing, Computer-Assisted Lung Neoplasms Decision Making Area Under Curve Mutation
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A Validation Study of Freezing of Gait (FoG) Detection and Machine-Learning-Based FoG Prediction Using Estimated Gait Characteristics with a Wearable Accelerometer.

Sensors (Basel, Switzerland) Sep 30, 2018
One of the most common symptoms observed among most of the Parkinson's disease patients that affects movement pattern and is also related to the risk of fall, is usually termed as "freezing of gait (FoG)". To allow systematic assessment of FoG, objec...
Middle Aged Wearable Electronic Devices Parkinson Disease Gait Accelerometry Humans Machine Learning Aged Aged, 80 and over Adult
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Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.

Radiology Sep 25, 2018
Purpose To develop and validate a deep learning-based automatic detection algorithm (DLAD) for malignant pulmonary nodules on chest radiographs and to compare its performance with physicians including thoracic radiologists. Materials and Methods For ...
Humans Radiographic Image Interpretation, Computer-Assisted Algorithms Radiography, Thoracic Retrospective Studies Female Reproducibility of Results Middle Aged Deep Learning Adolescent Lung Neoplasms Aged Multiple Pulmonary Nodules Aged, 80 and over Young Adult Adult Male
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Robotic Services Acceptance in Smart Environments With Older Adults: User Satisfaction and Acceptability Study.

Journal of medical Internet research Sep 21, 2018
BACKGROUND: In Europe, the population of older people is increasing rapidly. Many older people prefer to remain in their homes but living alone could be a risk for their safety. In this context, robotics and other emerging technologies are increasing...
Personal Satisfaction Longevity Patient Acceptance of Health Care Self-Help Devices Aged Aged, 80 and over Male Surveys and Questionnaires Robotics Humans Female
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Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks.

IEEE journal of biomedical and health informatics Sep 20, 2018
This paper proposes deep learning methods with signal alignment that facilitate the end-to-end classification of raw electrocardiogram (ECG) signals into heartbeat types, i.e., normal beat or different types of arrhythmias. Time-domain sample points ...
Humans Female Aged Aged, 80 and over Young Adult Adult Arrhythmias, Cardiac Heart Rate Male Middle Aged Deep Learning Electrocardiography Signal Processing, Computer-Assisted
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Instance-Based Representation Using Multiple Kernel Learning for Predicting Conversion to Alzheimer Disease.

International journal of neural systems Sep 20, 2018
The early detection of Alzheimer's disease and quantification of its progression poses multiple difficulties for machine learning algorithms. Two of the most relevant issues are related to missing data and results interpretability. To deal with both ...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Alzheimer Disease Image Interpretation, Computer-Assisted Neuroimaging Aged Humans Aged, 80 and over Machine Learning Male Prognosis Disease Progression Female Cognitive Dysfunction
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Artificial intelligence using neural network architecture for radiology (AINNAR): classification of MR imaging sequences.

Japanese journal of radiology Sep 19, 2018
PURPOSE: The confusion of MRI sequence names could be solved if MR images were automatically identified after image data acquisition. We revealed the ability of deep learning to classify head MRI sequences.
Magnetic Resonance Angiography Diffusion Magnetic Resonance Imaging Brain Retrospective Studies Female Reproducibility of Results Humans Aged Neural Networks, Computer Aged, 80 and over Artificial Intelligence Male Middle Aged Cognitive Dysfunction Magnetic Resonance Imaging
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Comfort and Attitudes Towards Robots Among Young, Middle-Aged, and Older Adults: A Cross-Sectional Study.

Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing Sep 19, 2018
PURPOSE: To explore the social impact of, comfort with, and negative attitudes towards robots among young, middle-aged, and older adults in the United States.
Male Middle Aged Surveys and Questionnaires Adolescent Age Factors Robotics Attitude Aged Aged, 80 and over Young Adult Adult Cross-Sectional Studies Humans Female
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