AIMC Topic: Aged, 80 and over

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Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry.

Radiology Mar 27, 2018
Purpose To analyze how automatic segmentation translates in accuracy and precision to morphology and relaxometry compared with manual segmentation and increases the speed and accuracy of the work flow that uses quantitative magnetic resonance (MR) im...
Humans Joint Diseases Cartilage, Articular Neural Networks, Computer Meniscus Middle Aged Retrospective Studies Adolescent Female Image Processing, Computer-Assisted Reproducibility of Results Magnetic Resonance Imaging Knee Joint Aged Aged, 80 and over Young Adult Adult Male
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Automated detection and classification of the proximal humerus fracture by using deep learning algorithm.

Acta orthopaedica Mar 26, 2018
Background and purpose - We aimed to evaluate the ability of artificial intelligence (a deep learning algorithm) to detect and classify proximal humerus fractures using plain anteroposterior shoulder radiographs. Patients and methods - 1,891 images (...
Adult Male Middle Aged Deep Learning Area Under Curve Arthrography Shoulder Fractures Algorithms Female Aged Aged, 80 and over Young Adult Humans
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Classification of Alzheimer's Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling.

Journal of medical systems Mar 26, 2018
Alzheimer's disease (AD) is a progressive brain disease. The goal of this study is to provide a new computer-vision based technique to detect it in an efficient way. The brain-imaging data of 98 AD patients and 98 healthy controls was collected using...
Male Image Processing, Computer-Assisted Alzheimer Disease Humans Neural Networks, Computer Machine Learning Female Aged Aged, 80 and over Sensitivity and Specificity
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Detecting oropharyngeal carcinoma using multispectral, narrow-band imaging and machine learning.

The Laryngoscope Mar 25, 2018
OBJECTIVE: To determine if multispectral narrow-band imaging (mNBI) can be used for automated, quantitative detection of oropharyngeal carcinoma (OPC).
Humans Machine Learning Prospective Studies Pattern Recognition, Automated Oropharyngeal Neoplasms Narrow Band Imaging Male Middle Aged Diagnosis, Differential Bayes Theorem Carcinoma Female Aged Aged, 80 and over Sensitivity and Specificity
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Random support vector machine cluster analysis of resting-state fMRI in Alzheimer's disease.

PloS one Mar 23, 2018
Early diagnosis is critical for individuals with Alzheimer's disease (AD) in clinical practice because its progress is irreversible. In the existing literature, support vector machine (SVM) has always been applied to distinguish between AD and health...
Alzheimer Disease Neuroimaging Aged, 80 and over Male Image Processing, Computer-Assisted Humans Support Vector Machine Brain Magnetic Resonance Imaging Female Aged
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Treatment-related features improve machine learning prediction of prognosis in soft tissue sarcoma patients.

Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] Mar 20, 2018
BACKGROUND AND PURPOSE: Current prognostic models for soft tissue sarcoma (STS) patients are solely based on staging information. Treatment-related data have not been included to date. Including such information, however, could help to improve these ...
Humans Machine Learning Adult Survival Rate Male Middle Aged Risk Assessment Prognosis Retrospective Studies Female Aged Aged, 80 and over Sarcoma Proportional Hazards Models Disease Progression Cohort Studies Neoadjuvant Therapy Neoplasm Staging
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Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach.

Journal of voice : official journal of the Voice Foundation Mar 19, 2018
OBJECTIVES: Computerized detection of voice disorders has attracted considerable academic and clinical interest in the hope of providing an effective screening method for voice diseases before endoscopic confirmation. This study proposes a deep-learn...
Speech Production Measurement Voice Quality Dysphonia Acoustics Sound Spectrography Speech Acoustics Vocal Cords Young Adult Adult Male Middle Aged Diagnosis, Computer-Assisted Deep Learning Pilot Projects Support Vector Machine Predictive Value of Tests Signal Processing, Computer-Assisted Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Humans
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Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

JACC. Cardiovascular imaging Mar 14, 2018
OBJECTIVES: The study evaluated the automatic prediction of obstructive disease from myocardial perfusion imaging (MPI) by deep learning as compared with total perfusion deficit (TPD).
Aged, 80 and over Male Middle Aged Deep Learning Predictive Value of Tests Registries Radiopharmaceuticals Image Interpretation, Computer-Assisted Organophosphorus Compounds Tomography, Emission-Computed, Single-Photon Humans Female Aged Coronary Circulation Myocardial Perfusion Imaging Coronary Stenosis Technetium Tc 99m Sestamibi Organotechnetium Compounds
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Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.

Physics in medicine and biology Mar 14, 2018
Lung cancer screening aims to detect small pulmonary nodules and decrease the mortality rate of those affected. However, studies from large-scale clinical trials of lung cancer screening have shown that the false-positive rate is high and positive pr...
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Middle Aged Image Processing, Computer-Assisted Lung Neoplasms Multiple Pulmonary Nodules Early Detection of Cancer Female Aged Aged, 80 and over Adult Male
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Rest tremor quantification based on fuzzy inference systems and wearable sensors.

International journal of medical informatics Mar 11, 2018
BACKGROUND: Currently the most consistent, widely accepted and detailed instrument to rate Parkinson's disease (PD) is the Movement Disorder Society sponsored Unified Parkinson Disease Rating Scale (MDS-UPDRS). However, the motor examination is based...
Wearable Electronic Devices Fuzzy Logic Parkinson Disease Humans Aged Machine Learning Tremor Female Aged, 80 and over Male Middle Aged Severity of Illness Index
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