AIMC Topic: Infant, Newborn

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Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity Scale.

Ophthalmology. Retina May 4, 2020
PURPOSE: Retinopathy of prematurity is a leading cause of childhood blindness worldwide, but clinical diagnosis is subjective, which leads to treatment differences. Our goal was to determine objective differences in the diagnosis of plus disease betw...
Female Gestational Age Infant, Newborn Retinopathy of Prematurity Male Severity of Illness Index Deep Learning Humans Algorithms Retrospective Studies
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Machine Learning Offers Exciting Potential for Predicting Postprocedural Outcomes: A Framework for Developing Random Forest Models in IR.

Journal of vascular and interventional radiology : JVIR May 4, 2020
PURPOSE: To demonstrate that random forest models trained on a large national sample can accurately predict relevant outcomes and may ultimately contribute to future clinical decision support tools in IR.
Infant Length of Stay Adolescent Time Factors Child, Preschool Young Adult Adult Male Middle Aged Risk Assessment Radiography, Interventional Humans Image-Guided Biopsy Child Machine Learning Portasystemic Shunt, Transjugular Intrahepatic Hospital Mortality Databases, Factual Iatrogenic Disease United States Risk Factors Pneumothorax Retrospective Studies Inpatients Aged Uterine Artery Embolization Data Mining Female Aged, 80 and over Infant, Newborn
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Deeply Learned Classifiers for Age and Gender Predictions of Unfiltered Faces.

TheScientificWorldJournal Apr 30, 2020
Age and gender predictions of unfiltered faces classify unconstrained real-world facial images into predefined age and gender. Significant improvements have been made in this research area due to its usefulness in intelligent real-world applications....
Aged Infant Humans Image Processing, Computer-Assisted Deep Learning Algorithms Young Adult Models, Theoretical Adolescent Female Adult Face Infant, Newborn Child, Preschool Male Facial Recognition Reproducibility of Results Child Middle Aged
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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT.

Radiology Apr 27, 2020
Background Coronavirus disease 2019 (COVID-19) and pneumonia of other diseases share similar CT characteristics, which contributes to the challenges in differentiating them with high accuracy. Purpose To establish and evaluate an artificial intellige...
Rhode Island Betacoronavirus Pneumonia, Viral Pneumonia Radiologists Coronavirus Infections Radiography, Thoracic Philadelphia Adult Sensitivity and Specificity Male Middle Aged Infant Child, Preschool Child Diagnosis, Differential Lung China Adolescent Infant, Newborn SARS-CoV-2 Aged Aged, 80 and over Young Adult Pandemics COVID-19 Retrospective Studies Tomography, X-Ray Computed Female Humans Artificial Intelligence
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Ependymoma and pilocytic astrocytoma: Differentiation using radiomics approach based on machine learning.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Apr 23, 2020
Mandatory accurate and specific diagnosis demands have brought about increased challenges for radiologists in pediatric posterior fossa tumor prediction and prognosis. With the development of high-performance computing and machine learning technologi...
Humans Machine Learning Child, Preschool Child Magnetic Resonance Imaging Diagnosis, Differential Image Interpretation, Computer-Assisted Astrocytoma Female Infant, Newborn Male Infant Adolescent Ependymoma Infratentorial Neoplasms
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Low-contrast X-ray enhancement using a fuzzy gamma reasoning model.

Medical & biological engineering & computing Mar 20, 2020
X-ray images play an important role in providing physicians with satisfactory information correlated to fractures and diseases; unfortunately, most of these images suffer from low contrast and poor quality. Thus, enhancement of the image will increas...
Databases, Factual Female Infant, Newborn X-Rays Humans Male Fuzzy Logic Infant Radiography Adolescent Spine Child, Preschool Hand Child Image Enhancement
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The CLASSE GATOR (CLinical Acronym SenSE disambiGuATOR): A Method for predicting acronym sense from neonatal clinical notes.

International journal of medical informatics Feb 14, 2020
OBJECTIVE: To develop an algorithm for identifying acronym 'sense' from clinical notes without requiring a clinically annotated training set.
Humans Abbreviations as Topic Algorithms Natural Language Processing Electronic Health Records Medical Subject Headings Infant, Newborn Pattern Recognition, Automated
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Plus Disease in Retinopathy of Prematurity: Convolutional Neural Network Performance Using a Combined Neural Network and Feature Extraction Approach.

Translational vision science & technology Feb 14, 2020
PURPOSE: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed by clinical ophthalmoscopic examinations or reading retinal images. Plus disease, defined as abnormal tortuosity and dilation of the posterior retinal blo...
Retinal Vessels Infant, Newborn Child Area Under Curve Ophthalmoscopy Retinopathy of Prematurity Humans Neural Networks, Computer
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Artificial Intelligence in Retinopathy of Prematurity Diagnosis.

Translational vision science & technology Feb 10, 2020
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide. The diagnosis of ROP is subclassified by zone, stage, and plus disease, with each area demonstrating significant intra- and interexpert subjectivity and disagreemen...
Humans Artificial Intelligence Infant, Newborn Child Infant, Low Birth Weight Retinopathy of Prematurity
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Prediction of vaginal birth after cesarean deliveries using machine learning.

American journal of obstetrics and gynecology Jan 30, 2020
BACKGROUND: Efforts to reduce cesarean delivery rates to 12-15% have been undertaken worldwide. Special focus has been directed towards parturients who undergo a trial of labor after cesarean delivery to reduce the burden of repeated cesarean deliver...
Cesarean Section Trial of Labor Uterine Rupture Parity Vaginal Birth after Cesarean Risk Factors Humans Head ROC Curve Apgar Score Adult Machine Learning Gestational Age Organ Size Fetal Weight Risk Assessment Retrospective Studies Delivery, Obstetric Area Under Curve Extraction, Obstetrical Pregnancy Tertiary Care Centers Female Feasibility Studies Infant, Newborn
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