AIMC Topic:
Predictive Value of Tests

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[Predicting atrial fibrillation through a sinus-rhythm electrocardiogram; useful or not?].

Nederlands tijdschrift voor geneeskunde Nov 28, 2019
In patients with cryptogenic stroke, the detection of atrial fibrillation (AF) is important, since it is an indication for the prescription of oral anticoagulation, instead of anti-platelet therapy, to decrease the chance of a recurrent ischaemic cer...
Reproducibility of Results Atrial Fibrillation Electrocardiography Predictive Value of Tests Humans Anticoagulants Artificial Intelligence Stroke Algorithms Decision Support Techniques
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The exploration of feature extraction and machine learning for predicting bone density from simple spine X-ray images in a Korean population.

Skeletal radiology Nov 23, 2019
OBJECTIVE: Osteoporosis is hard to detect before it manifests symptoms and complications. In this study, we evaluated machine learning models for identifying individuals with abnormal bone mineral density (BMD) through an analysis of spine X-ray feat...
Radiographic Image Interpretation, Computer-Assisted Spine Absorptiometry, Photon Sensitivity and Specificity Male Humans Middle Aged Machine Learning Predictive Value of Tests Bone Density Radiography Retrospective Studies Osteoporosis Republic of Korea Female
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Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy.

Breast (Edinburgh, Scotland) Nov 23, 2019
In patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy (NAC), some patients achieve a complete pathologic response (pCR), some achieve a partial response, and some do not respond at all or even progress. Accurate predicti...
Humans Machine Learning Female Adult Chemotherapy, Adjuvant Breast Neoplasms Middle Aged Multiparametric Magnetic Resonance Imaging Treatment Outcome Neoadjuvant Therapy Predictive Value of Tests Breast
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Deep segmentation networks predict survival of non-small cell lung cancer.

Scientific reports Nov 21, 2019
Non-small-cell lung cancer (NSCLC) represents approximately 80-85% of lung cancer diagnoses and is the leading cause of cancer-related death worldwide. Recent studies indicate that image-based radiomics features from positron emission tomography/comp...
Humans Prognosis Retrospective Studies Female Aged Aged, 80 and over Survival Rate Positron Emission Tomography Computed Tomography Neoplasm Staging Radiopharmaceuticals Datasets as Topic Male Radiosurgery Middle Aged Image Processing, Computer-Assisted Lung Lung Neoplasms Deep Learning Treatment Outcome Carcinoma, Non-Small-Cell Lung Predictive Value of Tests
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Prediction of visual outcomes by an artificial neural network following intravitreal injection and laser therapy for retinopathy of prematurity.

The British journal of ophthalmology Nov 19, 2019
AIMS: To construct a program to predict the visual acuity (VA), best corrected VA (BCVA) and spherical equivalent (SE) of patients with retinopathy of prematurity (ROP) from 3 to 12 years old after intravitreal injection (IVI) of anti-vascular endoth...
Angiogenesis Inhibitors Visual Acuity Predictive Value of Tests Vascular Endothelial Growth Factor A Intravitreal Injections Male Refraction, Ocular Child, Preschool Child Ranibizumab Retinopathy of Prematurity Humans Bevacizumab Neural Networks, Computer Laser Coagulation Retrospective Studies Female
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Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.

Radiology Nov 19, 2019
Background Deep learning (DL) algorithms are gaining extensive attention for their excellent performance in image recognition tasks. DL models can automatically make a quantitative assessment of complex medical image characteristics and achieve incre...
Lymph Nodes Lymphatic Metastasis Predictive Value of Tests Ultrasonography, Mammary Feasibility Studies Image Interpretation, Computer-Assisted Sensitivity and Specificity Breast Neoplasms Aged Middle Aged Humans Aged, 80 and over Deep Learning Neural Networks, Computer Young Adult Algorithms Cohort Studies Adult Retrospective Studies Female
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Machine learning-based quantitative texture analysis of conventional MRI combined with ADC maps for assessment of IDH1 mutation in high-grade gliomas.

Japanese journal of radiology Nov 18, 2019
PURPOSE: To assess the performance of texture analysis of conventional magnetic resonance imaging (MRI) and apparent diffusion coefficient (ADC) maps in predicting IDH1 status in high-grade gliomas (HGG).
Machine Learning Brain Retrospective Studies Female Reproducibility of Results Humans Isocitrate Dehydrogenase Glioma Magnetic Resonance Imaging Predictive Value of Tests Adult Mutation Brain Neoplasms Image Interpretation, Computer-Assisted Male Middle Aged
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Prediction of fetal weight at varying gestational age in the absence of ultrasound examination using ensemble learning.

Artificial intelligence in medicine Nov 17, 2019
Obstetric ultrasound examination of physiological parameters has been mainly used to estimate the fetal weight during pregnancy and baby weight before labour to monitor fetal growth and reduce prenatal morbidity and mortality. However, the problem is...
Birth Weight Gestational Age Fetal Development Fetal Weight Humans Female Machine Learning Adult Algorithms Ultrasonography Pregnancy Models, Statistical Predictive Value of Tests
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Prediction of essential genes in prokaryote based on artificial neural network.

Genes & genomics Nov 17, 2019
BACKGROUND: Rapid identification of new essential genes is necessary to understand biological mechanisms and identify potential targets for antimicrobial drugs. Many computational methods have been proposed.
Neural Networks, Computer Algorithms Bacteria Computational Biology Evolution, Molecular Predictive Value of Tests Genes, Essential Bacterial Proteins
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Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm.

JACC. Cardiovascular imaging Nov 13, 2019
Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Deep Learning Software Retrospective Studies Female Reproducibility of Results Aged Humans Automation Electrocardiography Coronary Vessels Predictive Value of Tests Vascular Calcification Coronary Angiography Computed Tomography Angiography Radiographic Image Interpretation, Computer-Assisted Cardiac-Gated Imaging Techniques Coronary Artery Disease
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