AIMC Journal:
Computer methods and programs in biomedicine

Showing 581 to 590 of 862 articles

Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center.

Computer methods and programs in biomedicine Jan 16, 2020
INTRODUCTION: Coronary artery disease (CAD) is still one of the primary causes of death in the developed countries. Stress single-photon emission computed tomography is used to evaluate myocardial perfusion and ventricular function in patients with s...
Female Aged Sensitivity and Specificity Male Humans Supervised Machine Learning Data Mining Academic Medical Centers Tomography, Emission-Computed, Single-Photon Middle Aged Bayes Theorem Italy Coronary Artery Disease Myocardial Perfusion Imaging
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Semi-supervised learning for automatic segmentation of the knee from MRI with convolutional neural networks.

Computer methods and programs in biomedicine Jan 11, 2020
BACKGROUND AND OBJECTIVE: Segmentation is a crucial step in multiple biomechanics and orthopedics applications. The time-intensiveness and expertise requirements of medical image segmentation present a significant bottleneck for corresponding workflo...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Knee Joint Supervised Machine Learning Algorithms Deep Learning Humans Monte Carlo Method Imaging, Three-Dimensional Neural Networks, Computer
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A reliable time-series method for predicting arthritic disease outcomes: New step from regression toward a nonlinear artificial intelligence method.

Computer methods and programs in biomedicine Jan 9, 2020
BACKGROUND AND OBJECTIVE: The interrupted time-series (ITS) concept is performed using linear regression to evaluate the impact of policy changes in public health at a specific time. Objectives of this study were to verify, with an artificial intelli...
Arthroplasty, Replacement, Knee Humans Artificial Intelligence Knee Interrupted Time Series Analysis Research Design Incidence Arthritis, Rheumatoid Outcome Assessment, Health Care Linear Models Arthroplasty, Replacement, Hip Hip
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Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods.

Computer methods and programs in biomedicine Jan 7, 2020
Prostate cancer represents today the most typical example of a pathology whose diagnosis requires multiparametric imaging, a strategy where multiple imaging techniques are combined to reach an acceptable diagnostic performance. However, the reviewing...
Diagnosis, Computer-Assisted Deep Learning Magnetic Resonance Imaging Prostatic Neoplasms Humans Artificial Intelligence Male
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A novel transcranial ultrasound imaging method with diverging wave transmission and deep learning approach.

Computer methods and programs in biomedicine Dec 30, 2019
Real time brain transcranial ultrasound imaging is extremely intriguing because of its numerous applications. However, the skull causes phase distortion and amplitude attenuation of ultrasound signals due to its density: the speed of sound is signifi...
Ultrasonography Humans Image Processing, Computer-Assisted Brain Skull Deep Learning Phantoms, Imaging
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Comparison of the predictive outcomes for anti-tuberculosis drug-induced hepatotoxicity by different machine learning techniques.

Computer methods and programs in biomedicine Dec 27, 2019
BACKGROUND: The study compared the predictive outcomes of artificial neural network, support vector machine and random forest on the occurrence of anti-tuberculosis drug-induced hepatotoxicity.
Polymorphism, Genetic Male Chemical and Drug Induced Liver Injury Middle Aged Humans Drug Discovery Taiwan Aged, 80 and over Neural Networks, Computer ROC Curve Antitubercular Agents Adult Female Machine Learning Genomics Tuberculosis Sensitivity and Specificity Reproducibility of Results Gene Frequency Genotype Risk Factors Support Vector Machine Aged Liver
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Fully automatic estimation of pelvic sagittal inclination from anterior-posterior radiography image using deep learning framework.

Computer methods and programs in biomedicine Dec 23, 2019
BACKGROUND AND OBJECTIVE: Malposition of the acetabular component causes dislocation and prosthetic impingement after Total Hip Arthroplasty (THA), which significantly affects the postoperative quality of life and implant longevity. The position of t...
Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Pelvis Automation Arthroplasty, Replacement, Hip
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DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters.

Computer methods and programs in biomedicine Dec 20, 2019
BACKGROUND AND OBJECTIVE: Automatic cardiac left ventricle (LV) quantification plays an important role in assessing cardiac function. Although many advanced methods have been put forward to quantify related LV parameters, automatic cardiac LV quantif...
Signal-To-Noise Ratio Task Performance and Analysis Uncertainty Neural Networks, Computer Algorithms Deep Learning Heart Ventricles Humans
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Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity.

Computer methods and programs in biomedicine Dec 10, 2019
BACKGROUND AND OBJECTIVE: This work deals with clinical text mining, a field of Natural Language Processing applied to biomedical informatics. The aim is to classify Electronic Health Records with respect to the International Classification of Diseas...
Computer Graphics Electronic Health Records Humans Deep Learning Natural Language Processing Neural Networks, Computer Medical Informatics Data Mining Software Pattern Recognition, Automated Algorithms International Classification of Diseases Spain
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Comparison of machine learning algorithms for the identification of acute exacerbations in chronic obstructive pulmonary disease.

Computer methods and programs in biomedicine Dec 9, 2019
OBJECTIVES: Identifying acute exacerbations in chronic obstructive pulmonary disease (AECOPDs) is of utmost importance for reducing the associated mortality and financial burden. In this research, the authors aimed to develop identification models fo...
Predictive Value of Tests Bayes Theorem Pulmonary Disease, Chronic Obstructive Sensitivity and Specificity Male Algorithms Middle Aged Humans Electronic Health Records ROC Curve Machine Learning Female Logistic Models Aged Support Vector Machine
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