AIMC Topic: Middle Aged

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Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) Sep 5, 2018
BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.
Age Factors Laryngeal Neoplasms Supervised Machine Learning Voice Quality Sex Factors Glottis Humans Smoking Aged Neural Networks, Computer Symptom Assessment Alcohol Drinking Adult Algorithms Wounds and Injuries Retrospective Studies Male Demography Female Vocal Cord Paralysis Middle Aged Voice Disorders Severity of Illness Index
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Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver.

Radiology Sep 4, 2018
Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by using CT images in the liver. Materials and Methods DLS for CT-based staging of liver fibrosis was created by using a development data set that included portal...
Tomography, X-Ray Computed Female Reproducibility of Results Adult Male Middle Aged Humans Radiographic Image Enhancement Severity of Illness Index Deep Learning Liver Cirrhosis Contrast Media Liver
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Parkinson's Disease Diagnosis via Joint Learning From Multiple Modalities and Relations.

IEEE journal of biomedical and health informatics Sep 3, 2018
Parkinson's disease (PD) is a neurodegenerative progressive disease that mainly affects the motor systems of patients. To slow this disease deterioration, early and accurate diagnosis of PD is an effective way, which alleviates mental and physical su...
Female Aged Male Middle Aged ROC Curve Humans Machine Learning Algorithms Brain Parkinson Disease Multimodal Imaging Image Interpretation, Computer-Assisted Diffusion Tensor Imaging
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Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

European radiology Sep 3, 2018
OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning.
Decision Trees Decision Support Techniques Area Under Curve Prospective Studies Humans Hepatitis B, Chronic Logistic Models Female Neural Networks, Computer Liver Cirrhosis Adult Machine Learning Support Vector Machine Algorithms Male Middle Aged Ultrasonography ROC Curve
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Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis.

Scientific reports Sep 3, 2018
The purpose of this study was to evaluate the performance of the deep convolutional neural network (DCNN) in differentiating between tuberculous and pyogenic spondylitis on magnetic resonance (MR) imaging, compared to the performance of three skilled...
Algorithms Retrospective Studies Female Aged Adult Humans Neural Networks, Computer Area Under Curve Male Image Interpretation, Computer-Assisted Spine Middle Aged Spondylitis Supervised Machine Learning ROC Curve Tuberculosis, Osteoarticular Magnetic Resonance Imaging Diagnosis, Differential
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Machine learning models in electronic health records can outperform conventional survival models for predicting patient mortality in coronary artery disease.

PloS one Aug 31, 2018
Prognostic modelling is important in clinical practice and epidemiology for patient management and research. Electronic health records (EHR) provide large quantities of data for such models, but conventional epidemiological approaches require signifi...
Prognosis Electronic Health Records Data Interpretation, Statistical Female Coronary Artery Disease Adult Humans Aged Models, Biological Male Aged, 80 and over Survival Analysis Machine Learning Middle Aged Diagnosis, Computer-Assisted Cohort Studies
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A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation.

IEEE transactions on bio-medical engineering Aug 30, 2018
Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft-tissue contrast and lack of ionizing radiation. However, quantification of body composition requires an accurate se...
Body Composition Whole Body Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Fuzzy Logic Cluster Analysis Thigh Brain Humans Aged Aged, 80 and over Algorithms Adult Middle Aged
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Diagnostic performance of real-time robotic arm-assisted F-FDG PET/CT-guided percutaneous biopsy in metabolically active abdominal and pelvic lesions.

European journal of nuclear medicine and molecular imaging Aug 30, 2018
PURPOSE: To evaluate the feasibility and diagnostic performance of F-FDG PET/CT-guided biopsy of abdominal and pelvic lesions with automated robotic arm (ARA) assistance.
Feasibility Studies Fluorodeoxyglucose F18 Image-Guided Biopsy Abdomen Humans Robotics Female Positron Emission Tomography Computed Tomography Aged Pelvis Aged, 80 and over Middle Aged Young Adult Skin Adolescent Adult Time Factors Male
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Clear Cell Renal Cell Carcinoma: Machine Learning-Based Quantitative Computed Tomography Texture Analysis for Prediction of Fuhrman Nuclear Grade.

European radiology Aug 30, 2018
OBJECTIVE: To evaluate the performance of quantitative computed tomography (CT) texture analysis using different machine learning (ML) classifiers for discriminating low and high nuclear grade clear cell renal cell carcinomas (cc-RCCs).
Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Nephrectomy Bayes Theorem Biopsy Data Collection Kidney Neoplasms Carcinoma, Renal Cell Adult Male Middle Aged Support Vector Machine Diagnosis, Differential
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Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Aug 30, 2018
Whole-body attenuation correction (AC) is still challenging in combined PET/MR scanners. We describe Dixon-VIBE Deep Learning (DIVIDE), a deep-learning network that allows synthesizing pelvis pseudo-CT maps based only on the standard Dixon volumetric...
Positron-Emission Tomography Aged Aged, 80 and over Adult Male Middle Aged Humans Deep Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted Magnetic Resonance Imaging Multimodal Imaging Prostatic Neoplasms
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