AIMC Topic: Aged, 80 and over

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Prediction of Alzheimer's disease dementia with MRI beyond the short-term: Implications for the design of predictive models.

NeuroImage. Clinical Apr 30, 2019
Magnetic resonance imaging (MRI) volumetric measures have become a standard tool for the detection of incipient Alzheimer's Disease (AD) dementia in mild cognitive impairment (MCI). Focused on providing an earlier and more accurate diagnosis, sophist...
Follow-Up Studies Aged, 80 and over Male Magnetic Resonance Imaging Middle Aged Predictive Value of Tests Dementia Alzheimer Disease Cohort Studies Humans Machine Learning Female Aged
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Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-FP-CIT indices.

Journal of neurology Apr 29, 2019
OBJECTIVES: To provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.
Humans Retrospective Studies Female Aged Parkinsonian Disorders Aged, 80 and over Corpus Striatum Adult Tomography, Emission-Computed, Single-Photon Male Middle Aged Support Vector Machine Iodine Radioisotopes
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Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics.

European radiology Apr 26, 2019
PURPOSE: To investigate the treatment response prediction feasibility and accuracy of an integrated model combining computed tomography (CT) radiomic features and dosimetric parameters for patients with esophageal cancer (EC) who underwent concurrent...
Humans Male Tomography, X-Ray Computed Middle Aged Radiometry Machine Learning Female ROC Curve Carcinoma, Squamous Cell Esophageal Neoplasms Aged Chemoradiotherapy Aged, 80 and over
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Deep Learning for Real-time, Automatic, and Scanner-adapted Prostate (Zone) Segmentation of Transrectal Ultrasound, for Example, Magnetic Resonance Imaging-transrectal Ultrasound Fusion Prostate Biopsy.

European urology focus Apr 23, 2019
BACKGROUND: Although recent advances in multiparametric magnetic resonance imaging (MRI) led to an increase in MRI-transrectal ultrasound (TRUS) fusion prostate biopsies, these are time consuming, laborious, and costly. Introduction of deep-learning ...
Ultrasonography Magnetic Resonance Imaging Prostate Rectum Biopsy Image-Guided Biopsy Aged, 80 and over Adult Male Middle Aged Deep Learning Humans Artificial Intelligence Aged
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Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification.

Scientific reports Apr 23, 2019
The increased availability of labeled X-ray image archives (e.g. ChestX-ray14 dataset) has triggered a growing interest in deep learning techniques. To provide better insight into the different approaches, and their applications to chest X-ray classi...
Humans Area Under Curve Infant, Newborn Databases as Topic Aged Thorax Aged, 80 and over Statistics, Nonparametric X-Rays Age Distribution Young Adult Adolescent Adult Child, Preschool Middle Aged Child Infant Image Processing, Computer-Assisted Deep Learning Models, Theoretical
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Accuracy of American College of Surgeons National Surgical Quality Improvement Program Universal Surgical Risk Calculator in Predicting Complications Following Robot-Assisted Radical Cystectomy at a National Comprehensive Cancer Center.

Journal of endourology Apr 22, 2019
There is paucity of literature about the validation of the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) surgical risk calculator for prediction of outcomes after robot-assisted radical cystectomy (RARC). We ...
Quality Improvement Cystectomy Postoperative Complications ROC Curve United States Robotics Area Under Curve Humans Decision Support Techniques Retrospective Studies Female Aged Aged, 80 and over Sensitivity and Specificity Male Risk Assessment
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Artificial Neural Network Learns Clinical Assessment of Spasticity in Modified Ashworth Scale.

Archives of physical medicine and rehabilitation Apr 19, 2019
OBJECTIVE: To propose an artificial intelligence (AI)-based decision-making rule in modified Ashworth scale (MAS) that draws maximum agreement from multiple human raters and to analyze how various biomechanical parameters affect scores in MAS.
Muscle Spasticity Neurologic Examination Male Middle Aged Elbow Joint Brain Diseases Hemiplegia Aged Aged, 80 and over Adult Biomechanical Phenomena Humans Neural Networks, Computer Prospective Studies Female
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Automated and accurate quantification of subcutaneous and visceral adipose tissue from magnetic resonance imaging based on machine learning.

Magnetic resonance imaging Apr 18, 2019
Accurate measuring of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) is vital for the research of many diseases. The localization and quantification of SAT and VAT by computed tomography (CT) expose patients to harmful ionizing r...
Intra-Abdominal Fat Subcutaneous Fat Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Cluster Analysis Humans Machine Learning Female Reproducibility of Results Aged Aged, 80 and over Adult Male
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Machine-learning based radiogenomics analysis of MRI features and metagenes in glioblastoma multiforme patients with different survival time.

Journal of cellular and molecular medicine Apr 18, 2019
BACKGROUND: This study aimed to examine multi-dimensional MRI features' predictability on survival outcome and associations with differentially expressed Genes (RNA Sequencing) in groups of glioblastoma multiforme (GBM) patients.
Humans Machine Learning Algorithms Adult Survival Rate Biomarkers, Tumor Brain Neoplasms Male Prognosis Female Aged Aged, 80 and over Young Adult Radiographic Image Interpretation, Computer-Assisted ROC Curve Genomics Gene Expression Regulation, Neoplastic Middle Aged Magnetic Resonance Imaging Glioblastoma Gene Expression Profiling Transcriptome Adolescent
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Machine learning approaches to studying the role of cognitive reserve in conversion from mild cognitive impairment to dementia.

International journal of geriatric psychiatry Apr 15, 2019
OBJECTIVES: The overall aim of the present study was to explore the role of cognitive reserve (CR) in the conversion from mild cognitive impairment (MCI) to dementia. We used traditional and machine learning (ML) techniques to compare converter and n...
Humans Machine Learning Female Cognitive Dysfunction Dementia Longitudinal Studies Predictive Value of Tests Cognitive Reserve Aged Aged, 80 and over Male Middle Aged Disease Progression
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