AIMC Topic: Infant

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Documentation of Shared Decisionmaking in the Emergency Department.

Annals of emergency medicine Jul 31, 2021
STUDY OBJECTIVE: While patient-centered communication and shared decisionmaking are increasingly recognized as vital aspects of clinical practice, little is known about their characteristics in real-world emergency department (ED) settings. We constr...
Electronic Health Records Female Infant, Newborn Aged Aged, 80 and over Young Adult Adult Communication Humans Physician-Patient Relations Retrospective Studies Adolescent Emergency Medicine Child, Preschool Decision Making, Shared Child Natural Language Processing Male Middle Aged Infant Surveys and Questionnaires
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S3Reg: Superfast Spherical Surface Registration Based on Deep Learning.

IEEE transactions on medical imaging Jul 30, 2021
Cortical surface registration is an essential step and prerequisite for surface-based neuroimaging analysis. It aligns cortical surfaces across individuals and time points to establish cross-sectional and longitudinal cortical correspondences to faci...
Infant Deep Learning Humans Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Adult Cross-Sectional Studies Neuroimaging
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The early ontogeny of infants' imitation of on screen humans and robots.

Infant behavior & development Jul 29, 2021
Traditionally, infants have learned how to interact with objects in their environment through direct observations of adults and peers. In recent decades these models have been available over different media, and this has introduced non-human agents t...
Humans Robotics Infant Imitative Behavior Child, Preschool Infant Behavior
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Future of machine learning in paediatrics.

Archives of disease in childhood Jul 22, 2021
Machine learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn without being explicitly programmed, through a combination of statistics and computer science. It encompasses a variety of techniques used to analyse an...
Pediatrics State Medicine Female Male Risk Assessment Infant Adolescent Child Drug Development Workforce Computers Delivery of Health Care Precision Medicine Clinical Decision-Making Humans Artificial Intelligence Machine Learning Forecasting
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Analysis of the performance of machine learning and deep learning methods for sex estimation of infant individuals from the analysis of 2D images of the ilium.

International journal of legal medicine Jul 16, 2021
Reducing the subjectivity of the methods used for biological profile estimation is, at present, a priority research line in forensic anthropology. To achieve this, artificial intelligence (AI) techniques can be a valuable tool yet to be exploited in ...
Machine Learning Female Male Infant Humans Artificial Intelligence Photography Deep Learning Child, Preschool Sex Determination by Skeleton Ilium
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Machine Learning Models for Predicting Neonatal Mortality: A Systematic Review.

Neonatology Jul 14, 2021
INTRODUCTION: Approximately 7,000 newborns die every day, accounting for almost half of child deaths under 5 years of age. Deciphering which neonates are at increased risk for mortality can have an important global impact. As such, integrating high c...
Infant Mortality Female Gestational Age Humans Perinatal Death Infant, Newborn Artificial Intelligence Infant Machine Learning Child Pregnancy
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Predicting self-intercepted medication ordering errors using machine learning.

PloS one Jul 14, 2021
Current approaches to understanding medication ordering errors rely on relatively small manually captured error samples. These approaches are resource-intensive, do not scale for computerized provider order entry (CPOE) systems, and are likely to mis...
Infant Humans Adolescent ROC Curve Machine Learning Child, Preschool Young Adult Logistic Models Female Child Adult Aged Male Aged, 80 and over Medication Errors Middle Aged Medical Order Entry Systems
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Application of a deep learning image reconstruction (DLIR) algorithm in head CT imaging for children to improve image quality and lesion detection.

BMC medical imaging Jul 8, 2021
BACKGROUND: To evaluate the performance of a Deep Learning Image Reconstruction (DLIR) algorithm in pediatric head CT for improving image quality and lesion detection with 0.625 mm thin-slice images.
Humans Algorithms Brain Retrospective Studies Brain Injuries Brain Diseases Signal-To-Noise Ratio Multidetector Computed Tomography Radiation Exposure Deep Learning Craniocerebral Trauma Adolescent Child, Preschool Female Child Infant, Newborn Male Infant
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Establish a normal fetal lung gestational age grading model and explore the potential value of deep learning algorithms in fetal lung maturity evaluation.

Chinese medical journal Jul 1, 2021
BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on d...
Infant Lung Deep Learning Gestational Age Algorithms Pregnancy Female Infant, Newborn Humans Neural Networks, Computer
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DeepVolume: Brain Structure and Spatial Connection-Aware Network for Brain MRI Super-Resolution.

IEEE transactions on cybernetics Jun 23, 2021
Thin-section magnetic resonance imaging (MRI) can provide higher resolution anatomical structures and more precise clinical information than thick-section images. However, thin-section MRI is not always available due to the imaging cost issue. In mul...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Deep Learning Brain Adolescent Infant, Newborn Child, Preschool Infant Child
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