AIMC Topic: Female

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Automatic radiomic feature extraction using deep learning for angiographic parametric imaging of intracranial aneurysms.

Journal of neurointerventional surgery Aug 23, 2019
BACKGROUND: Angiographic parametric imaging (API) is an imaging method that uses digital subtraction angiography (DSA) to characterize contrast media dynamics throughout the vasculature. This requires manual placement of a region of interest over a l...
Contrast Media Angiography, Digital Subtraction Intracranial Aneurysm Aged Aged, 80 and over Young Adult Adult Male Middle Aged Deep Learning Adolescent Cohort Studies Humans Neural Networks, Computer Retrospective Studies Female
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Radiomics machine-learning signature for diagnosis of hepatocellular carcinoma in cirrhotic patients with indeterminate liver nodules.

European radiology Aug 23, 2019
PURPOSE: To enhance clinician's decision-making by diagnosing hepatocellular carcinoma (HCC) in cirrhotic patients with indeterminate liver nodules using quantitative imaging features extracted from triphasic CT scans.
Liver Cirrhosis Contrast Media Liver Diagnosis, Differential Machine Learning Retrospective Studies Tomography, X-Ray Computed Female Aged Male Middle Aged Humans Liver Neoplasms Carcinoma, Hepatocellular Artificial Intelligence
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Artificial Intelligence in Nephrology: Core Concepts, Clinical Applications, and Perspectives.

American journal of kidney diseases : the official journal of the National Kidney Foundation Aug 23, 2019
Artificial intelligence is playing an increasingly important role in many fields of medicine, assisting physicians in most steps of patient management. In nephrology, artificial intelligence can already be used to improve clinical care, hemodialysis ...
Quality Improvement Forecasting Female Male Nephrology Humans Artificial Intelligence Machine Learning Algorithms
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Identification of suspicious invasive placentation based on clinical MRI data using textural features and automated machine learning.

European radiology Aug 23, 2019
OBJECTIVE: The aim of this study was to investigate whether intraplacental texture features from routine placental MRI can objectively and accurately predict invasive placentation.
Humans Machine Learning Algorithms Retrospective Studies Pregnancy Female Placentation Prenatal Diagnosis Placenta Previa Young Adult Adult Magnetic Resonance Imaging Placenta
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Using artificial intelligence to reduce diagnostic workload without compromising detection of urinary tract infections.

BMC medical informatics and decision making Aug 23, 2019
BACKGROUND: A substantial proportion of microbiological screening in diagnostic laboratories is due to suspected urinary tract infections (UTIs), yet approximately two thirds of urine samples typically yield negative culture results. By reducing the ...
Neural Networks, Computer Artificial Intelligence Machine Learning Algorithms Retrospective Studies Humans Adult Male Middle Aged Infant Adolescent Pregnancy Female Aged Young Adult Urinalysis Child, Preschool Child Urinary Tract Infections Workload
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Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA.

BMC cancer Aug 23, 2019
BACKGROUND: Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative to existing screening tests. However, early-stage detection of cancer using tumor-derived cfDNA has proven challenging because of the small proportion...
Circulating Tumor DNA Genomics Computational Biology Neoplasm Staging Genome, Human Aged Humans Male Aged, 80 and over Machine Learning Middle Aged Colorectal Neoplasms Female Gene Expression Profiling Biomarkers, Tumor Transcriptome Reproducibility of Results ROC Curve
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Machine Learning Models for Diagnosing Glaucoma from Retinal Nerve Fiber Layer Thickness Maps.

Ophthalmology. Glaucoma Aug 23, 2019
PURPOSE: To assess the diagnostic accuracy of multiple machine learning models using full retinal nerve fiber layer (RNFL) thickness maps in detecting glaucoma.
Humans Glaucoma Machine Learning Female Tomography, Optical Coherence Nerve Fibers Aged Optic Disk Intraocular Pressure Retinal Ganglion Cells Male Visual Fields Case-Control Studies
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Prediction model development of late-onset preeclampsia using machine learning-based methods.

PloS one Aug 23, 2019
Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due to the lack of effective preventive measures, its prediction is essential to its prompt management. This study aimed to develop models using machine learning...
Pre-Eclampsia Age of Onset Pregnancy Trimester, Second Adult Humans Pregnancy Trimester, Third Gestational Age Machine Learning Logistic Models Pregnancy Support Vector Machine Female Bayes Theorem
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Identifying Phenotypes of Atopic Dermatitis in a Longitudinal United States Cohort Using Unbiased Statistical Clustering.

The Journal of investigative dermatology Aug 22, 2019
Registries Age of Onset Dermatitis, Atopic Child United States Longitudinal Studies Cluster Analysis Infant Severity of Illness Index Diagnosis, Computer-Assisted Child, Preschool Machine Learning Humans Phenotype Female Infant, Newborn Male
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Personalized Breast Cancer Treatments Using Artificial Intelligence in Radiomics and Pathomics.

Journal of medical imaging and radiation sciences Aug 22, 2019
Progress in computing power and advances in medical imaging over recent decades have culminated in new opportunities for artificial intelligence (AI), computer vision, and using radiomics to facilitate clinical decision-making. These opportunities ar...
Humans Artificial Intelligence Female Breast Neoplasms Decision Support Systems, Clinical Radiography Image Interpretation, Computer-Assisted
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