AIMC Topic: Aged, 80 and over

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Three-dimensional Deep Convolutional Neural Networks for Automated Myocardial Scar Quantification in Hypertrophic Cardiomyopathy: A Multicenter Multivendor Study.

Radiology Nov 12, 2019
Background Cardiac MRI late gadolinium enhancement (LGE) scar volume is an important marker for outcome prediction in patients with hypertrophic cardiomyopathy (HCM); however, its clinical application is hindered by a lack of measurement standardizat...
Image Interpretation, Computer-Assisted Cardiomyopathy, Hypertrophic Adult Male Middle Aged Adolescent Child Imaging, Three-Dimensional Magnetic Resonance Imaging Cicatrix Myocardium Heart Female Humans Reproducibility of Results Neural Networks, Computer Aged Retrospective Studies Aged, 80 and over Young Adult
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Can artificial intelligence help identify elder abuse and neglect?

Journal of elder abuse & neglect Nov 12, 2019
A health care encounter is a potentially critical opportunity to detect elder abuse and initiate intervention. Unfortunately, health care providers currently very seldom identify elder abuse. Through development of advanced data analytics techniques ...
Electronic Health Records Aged Aged, 80 and over Elder Abuse Humans Artificial Intelligence Health Personnel
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Purification of viable peripheral blood mononuclear cells for biobanking using a robotized liquid handling workstation.

Journal of translational medicine Nov 12, 2019
BACKGROUND: The purification of peripheral blood mononuclear cells (PBMCs) by means of density gradient (1.07 g/mL) centrifugation is one of the most commonly used methods in diagnostics and research laboratories as well as in biobanks. Here, we eval...
Specimen Handling Cell Separation Middle Aged Leukocytes, Mononuclear Cell Survival Reproducibility of Results Robotics Aged Humans Lymphocytes Aged, 80 and over Female Adult Male Biological Specimen Banks Erythrocytes Automation Preservation, Biological Erythrocyte Count
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Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.

European radiology Nov 11, 2019
OBJECTIVE: To develop and evaluate the performance of U-Net for fully automated localization and segmentation of cervical tumors in magnetic resonance (MR) images and the robustness of extracting apparent diffusion coefficient (ADC) radiomics feature...
Humans Aged, 80 and over Young Adult Adult Uterine Cervical Neoplasms Middle Aged Retrospective Studies Female Carcinoma, Squamous Cell Reproducibility of Results Aged Deep Learning Image Processing, Computer-Assisted Carcinoma Tumor Burden Diffusion Magnetic Resonance Imaging
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Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease.

COPD Nov 11, 2019
While machine learning approaches can enhance prediction ability, little is known about their ability to predict 30-day readmission after hospitalization for Chronic Obstructive Pulmonary Disease (COPD). We identified patients aged ≥40 years with unp...
Patient Readmission Clinical Decision Rules Hospitalization Aged Humans Aged, 80 and over Machine Learning Adult Databases, Factual Pulmonary Disease, Chronic Obstructive Prognosis Male Female Middle Aged Risk Assessment Logistic Models Japan
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SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder.

NeuroImage. Clinical Nov 9, 2019
White matter hyperintensities (WMHs) of presumed vascular origin are frequently observed in magnetic resonance images (MRIs) of the elderly. Detection and quantification of WMHs is important to help doctors make diagnoses and evaluate prognosis of th...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Unsupervised Machine Learning Image Enhancement Humans Neural Networks, Computer Female Aged White Matter Aged, 80 and over Male
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Automatic kidney segmentation in ultrasound images using subsequent boundary distance regression and pixelwise classification networks.

Medical image analysis Nov 8, 2019
It remains challenging to automatically segment kidneys in clinical ultrasound (US) images due to the kidneys' varied shapes and image intensity distributions, although semi-automatic methods have achieved promising performance. In this study, we pro...
Pattern Recognition, Automated Male Deep Learning Ultrasonography Humans Kidney Diseases Neural Networks, Computer Datasets as Topic Female Aged, 80 and over
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Patients' views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire.

European radiology Nov 8, 2019
OBJECTIVES: The patients' view on the implementation of artificial intelligence (AI) in radiology is still mainly unexplored territory. The aim of this article is to develop and validate a standardized patient questionnaire on the implementation of A...
Reproducibility of Results Aged Aged, 80 and over Young Adult Adult Radiography Humans Radiology Artificial Intelligence Male Netherlands Prospective Studies Middle Aged Attitude to Computers Surveys and Questionnaires Attitude to Health Psychometrics Adolescent
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Forecasting Retinal Nerve Fiber Layer Thickness from Multimodal Temporal Data Incorporating OCT Volumes.

Ophthalmology. Glaucoma Nov 8, 2019
PURPOSE: The purpose of this study was to develop a machine learning model to forecast future circumpapillary retinal nerve fiber layer (cpRNFL) thickness in eyes of healthy, glaucoma suspect, and glaucoma participants from multimodal temporal data.
Intraocular Pressure Female Nerve Fibers Humans Male Aged Glaucoma Optic Disk Middle Aged Aged, 80 and over Forecasting Retinal Ganglion Cells Follow-Up Studies Young Adult Retrospective Studies Visual Fields Tomography, Optical Coherence Adult
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Clear cell renal cell carcinoma: Machine learning-based computed tomography radiomics analysis for the prediction of WHO/ISUP grade.

European journal of radiology Nov 6, 2019
PURPOSE: To evaluate the performance of machine learning (ML)-based computed tomography (CT) radiomics analysis for discriminating between low grade (WHO/ISUP I-II) and high grade (WHO/ISUP III-IV) clear cell renal cell carcinomas (ccRCCs).
Young Adult Adult Male Middle Aged Kidney Logistic Models Support Vector Machine Diagnosis, Differential Predictive Value of Tests Neoplasm Grading Tomography, X-Ray Computed Female Reproducibility of Results Aged Humans Aged, 80 and over Machine Learning Algorithms Retrospective Studies Image Interpretation, Computer-Assisted Kidney Neoplasms Carcinoma, Renal Cell
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