AIMC Topic: Aged, 80 and over

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Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance.

European radiology Dec 10, 2019
OBJECTIVES: To evaluate the diagnostic performance of a deep learning algorithm for automated detection of small F-FDG-avid pulmonary nodules in PET scans, and to assess whether novel block sequential regularized expectation maximization (BSREM) reco...
Male Middle Aged Deep Learning Radiopharmaceuticals Image Processing, Computer-Assisted Female Multiple Pulmonary Nodules Fluorodeoxyglucose F18 Lung Neoplasms Aged Solitary Pulmonary Nodule Aged, 80 and over Positron Emission Tomography Computed Tomography Humans Adult Artificial Intelligence Sensitivity and Specificity Algorithms Retrospective Studies
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Evaluating the reliability of neurocognitive biomarkers of neurodegenerative diseases across countries: A machine learning approach.

NeuroImage Dec 10, 2019
Accurate early diagnosis of neurodegenerative diseases represents a growing challenge for current clinical practice. Promisingly, current tools can be complemented by computational decision-support methods to objectively analyze multidimensional meas...
Neuropsychological Tests Atrophy Executive Function Humans Machine Learning Aged, 80 and over Magnetic Resonance Imaging Biomarkers Male Alzheimer Disease Female Middle Aged Frontotemporal Dementia Reproducibility of Results Aged
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Artificial intelligence approaches to predicting and detecting cognitive decline in older adults: A conceptual review.

Psychiatry research Dec 9, 2019
Preserving cognition and mental capacity is critical to aging with autonomy. Early detection of pathological cognitive decline facilitates the greatest impact of restorative or preventative treatments. Artificial Intelligence (AI) in healthcare is th...
Cognitive Dysfunction Genomics Natural Language Processing Data Interpretation, Statistical Machine Learning Algorithms Humans Electronic Health Records Artificial Intelligence Aged Aged, 80 and over
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Ethics of socially assistive robots in aged-care settings: a socio-historical contextualisation.

Journal of medical ethics Dec 9, 2019
Different embodiments of technology permeate all layers of public and private domains in society. In the public domain of aged care, attention is increasingly focused on the use of socially assistive robots (SARs) supporting caregivers and older adul...
Social Interaction Empirical Research Homes for the Aged Philosophy Intuition Social Isolation Morals Aged Caregivers Humans Aged, 80 and over Nursing Homes Communication Knowledge Decision Making Robotics
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Detecting glaucoma based on spectral domain optical coherence tomography imaging of peripapillary retinal nerve fiber layer: a comparison study between hand-crafted features and deep learning model.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Dec 7, 2019
PURPOSE: To develop a deep learning (DL) model for automated detection of glaucoma and to compare diagnostic capability against hand-craft features (HCFs) based on spectral domain optical coherence tomography (SD-OCT) peripapillary retinal nerve fibe...
Humans Glaucoma Adolescent Tomography, Optical Coherence Adult Nerve Fibers Optic Disk Intraocular Pressure Retinal Ganglion Cells Male Middle Aged Deep Learning Visual Fields Prospective Studies Female Aged Aged, 80 and over Young Adult
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A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images.

European radiology Dec 6, 2019
OBJECTIVE: To develop a deep learning-based artificial intelligence (AI) scheme for predicting the likelihood of the ground-glass nodule (GGN) detected on CT images being invasive adenocarcinoma (IA) and also compare the accuracy of this AI scheme wi...
Male Middle Aged Disease Progression Deep Learning Adolescent Female Aged Aged, 80 and over Young Adult Adult Radiologists Feasibility Studies Adenocarcinoma of Lung Adenocarcinoma in Situ ROC Curve Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Neoplasm Invasiveness Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed
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Epidemiological pathology of Aβ deposition in the ageing brain in CFAS: addition of multiple Aβ-derived measures does not improve dementia assessment using logistic regression and machine learning approaches.

Acta neuropathologica communications Dec 5, 2019
Aβ-amyloid deposition is a key feature of Alzheimer's disease, but Consortium to Establish a Registry for Alzheimer's Disease (CERAD) assessment, based on neuritic plaque density, shows a limited relationships to dementia. Thal phase is based on a ne...
Logistic Models Cognition Amyloid beta-Peptides Aged, 80 and over Male Aging Dementia Cohort Studies Brain Female Aged Humans Machine Learning
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Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.

PloS one Dec 5, 2019
Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the histological quantification of acute ischemic stroke (AIS) clots. We analyzed 50 AIS blood clots retrieved using mechanical thrombectomy procedures. ...
Cohort Studies Aged, 80 and over Humans Brain Ischemia Young Adult Image Processing, Computer-Assisted Machine Learning Artifacts Orbit Software Erythrocytes Stroke Adult Female Thrombosis Male Aged Middle Aged
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How people with dementia perceive a therapeutic robot called PARO in relation to their pain and mood: A qualitative study.

Journal of clinical nursing Dec 2, 2019
BACKGROUND: Interacting with social robots, such as the robotic seal PARO, has been shown to improve mood and acute pain for people with dementia. Little attention has been paid to the effect of PARO on people with dementia and chronic pain.
Humans Female Dementia Robotics Pain Management Affect Chronic Pain Homes for the Aged Aged Aged, 80 and over Male Pilot Projects Qualitative Research
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Development and Validation of a Machine Learning Model to Aid Discharge Processes for Inpatient Surgical Care.

JAMA network open Dec 2, 2019
IMPORTANCE: Inpatient overcrowding is associated with delays in care, including the deferral of surgical care until beds are available to accommodate postoperative patients. Timely patient discharge is critical to address inpatient overcrowding and r...
Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Middle Aged Adolescent Time Factors Models, Theoretical Postoperative Care Machine Learning Prospective Studies Prognosis Female Aged Patient Discharge Humans Neural Networks, Computer
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