AIMC Topic: Aged, 80 and over

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Age-Related Differences in the Uncanny Valley Effect.

Gerontology Jun 11, 2020
BACKGROUND: Due to declining birthrates and an increasing aging population, shortage of the caregiving labor force has become a global issue. Among various efforts toward the solution, introducing robotic products for assistance could provide an effe...
Humans Female Robotics Young Adult Activities of Daily Living Adult Aged Self-Help Devices Male Aged, 80 and over Attitude to Computers Middle Aged Surveys and Questionnaires Adolescent
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Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.

European radiology Jun 10, 2020
OBJECTIVE: To evaluate machine learning-based classifiers in detecting clinically significant prostate cancer (PCa) with Prostate Imaging Reporting and Data System (PI-RADS) score 3 lesions.
Image-Guided Biopsy Unnecessary Procedures Multiparametric Magnetic Resonance Imaging Area Under Curve Radiography Prostatic Neoplasms Prostate-Specific Antigen Prostate Validation Studies as Topic Middle Aged Ultrasonography ROC Curve Logistic Models Humans Support Vector Machine Machine Learning Decision Trees Retrospective Studies Reproducibility of Results Aged Aged, 80 and over Male
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Deep learning analysis using FDG-PET to predict treatment outcome in patients with oral cavity squamous cell carcinoma.

European radiology Jun 10, 2020
OBJECTIVE: To assess the utility of deep learning analysis using F-fluorodeoxyglucose (FDG) uptake by positron emission tomography (PET/CT) to predict disease-free survival (DFS) in patients with oral cavity squamous cell carcinoma (OCSCC).
Squamous Cell Carcinoma of Head and Neck Predictive Value of Tests Positron Emission Tomography Computed Tomography Neoplasm Staging Mouth Neoplasms Disease-Free Survival Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Glycolysis Treatment Outcome Tumor Burden Fluorodeoxyglucose F18 Kaplan-Meier Estimate Humans Algorithms Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Adult Sensitivity and Specificity
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Machine-learning-based diagnostics of EEG pathology.

NeuroImage Jun 10, 2020
Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be categorized into feature-based (with handcrafted features), and end-to-end approaches (with learned features). Previous studies on EEG pathology decoding ...
Child, Preschool Child Electroencephalography Signal Processing, Computer-Assisted Brain Diseases Humans Brain-Computer Interfaces Machine Learning Young Adult Databases, Factual Adult Brain Male Female Middle Aged Infant, Newborn Infant Aged Adolescent Aged, 80 and over
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Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions.

European journal of cancer (Oxford, England : 1990) Jun 10, 2020
BACKGROUND: Convolutional neural networks (CNNs) have shown a dermatologist-level performance in the classification of skin lesions. We aimed to deliver a head-to-head comparison of a conventional image analyser (CIA), which depends on segmentation a...
Young Adult Adult Cross-Sectional Studies Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Adolescent Predictive Value of Tests Image Interpretation, Computer-Assisted Melanoma Skin Neoplasms Dermoscopy Reproducibility of Results Aged Aged, 80 and over Humans Databases, Factual Prospective Studies Prognosis Female
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Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach.

Journal of neuroengineering and rehabilitation Jun 10, 2020
BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a patient's impairment and function. Predicting a patient's discharge outcome using baseline clinical information may help clinicians design more targete...
Aged Aged, 80 and over Young Adult Adult Male Middle Aged United States Humans Machine Learning Female Treatment Outcome Inpatients Stroke Outcome Assessment, Health Care Stroke Rehabilitation
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The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty.

Journal of shoulder and elbow surgery Jun 9, 2020
HYPOTHESIS/PURPOSE: The objective is to develop and validate an artificial intelligence model, specifically an artificial neural network (ANN), to predict length of stay (LOS), discharge disposition, and inpatient charges for primary anatomic total (...
Shoulder Injuries Machine Learning Forecasting Databases, Factual Female Reproducibility of Results Aged Humans Models, Statistical Aged, 80 and over Neural Networks, Computer Patient Discharge Male Osteoarthritis Middle Aged Hospital Costs Postoperative Complications Hospital Charges Length of Stay Arthroplasty, Replacement, Shoulder ROC Curve Hemiarthroplasty
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Using Artificial Intelligence to Predict Surgical Shunts in Men with Ischemic Priapism.

The Journal of urology Jun 9, 2020
PURPOSE: Ischemic priapism is a urological emergency that requires prompt intervention to preserve erectile function. Characteristics that influence escalation to surgical intervention remain unclear. We identified factors and developed machine learn...
Likelihood Functions Penile Erection Emergency Treatment Priapism Urologic Surgical Procedures, Male Male Middle Aged Risk Assessment Adolescent Time Factors Treatment Outcome Machine Learning Models, Statistical Retrospective Studies Emergency Service, Hospital Aged Anastomosis, Surgical Aged, 80 and over Humans Phenylephrine Young Adult Paracentesis Adult Erectile Dysfunction Penis
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A Comparative Study of the Diagnostic Potential of Plasma and Erythrocytic α-Synuclein in Parkinson's Disease.

Neuro-degenerative diseases Jun 2, 2020
BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disease characterized by intracellular α-synuclein (α-Syn) deposition. Alternation of the α-Syn expression level in plasma or erythrocytes may be used as a potential PD biomarker. However, n...
alpha-Synuclein Sensitivity and Specificity Humans Erythrocytes Male Biomarkers Middle Aged Female Severity of Illness Index Aged Enzyme-Linked Immunosorbent Assay Aged, 80 and over Parkinson Disease Adult
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Development and Validation of a Deep Learning Model for Non-Small Cell Lung Cancer Survival.

JAMA network open Jun 1, 2020
IMPORTANCE: There is a lack of studies exploring the performance of a deep learning survival neural network in non-small cell lung cancer (NSCLC).
Prognosis Female Aged Aged, 80 and over Young Adult Adult Humans Lung Neoplasms United States Carcinoma, Non-Small-Cell Lung Models, Statistical Neoplasm Staging SEER Program Kaplan-Meier Estimate Survival Rate Male Middle Aged Deep Learning China Cohort Studies
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