AIMC Topic: Infant, Premature

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Automatic Segmentation of MR Brain Images With a Convolutional Neural Network.

IEEE transactions on medical imaging Mar 30, 2016
Automatic segmentation in MR brain images is important for quantitative analysis in large-scale studies with images acquired at all ages. This paper presents a method for the automatic segmentation of MR brain images into a number of tissue classes u...
Young Adult Adult Image Processing, Computer-Assisted Magnetic Resonance Imaging Infant, Premature Neural Networks, Computer Machine Learning Brain Humans Infant, Newborn Aged
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Machine-learning to characterise neonatal functional connectivity in the preterm brain.

NeuroImage Sep 2, 2015
Brain development is adversely affected by preterm birth. Magnetic resonance image analysis has revealed a complex fusion of structural alterations across all tissue compartments that are apparent by term-equivalent age, persistent into adolescence a...
Magnetic Resonance Imaging Brain Mapping Infant, Premature Connectome Female Humans Infant, Newborn Machine Learning Male Brain
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Listening deeper: neural networks unravel acoustic features in preterm infant crying.

Scientific reports Jul 2, 2025
Early infant crying provides critical insights into neurodevelopment, with atypical acoustic features linked to conditions such as preterm birth. However, previous studies have focused on limited and specific acoustic features, hindering a more compr...
Crying Sound Spectrography Infant, Premature Gestational Age Humans Male Female Neural Networks, Computer Infant, Newborn Acoustics
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Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection.

Scientific reports Jul 2, 2025
In general, deficient birth weight neonates suffer from hypoglycemia, and this can be quite disadvantageous. Like oxygen, glucose is a building block of life and constitutes the significant share of energy produced by the fetus and the neonate during...
Photoplethysmography Humans Monitoring, Physiologic Algorithms Hypoglycemia Female Infant, Premature Infant, Newborn Deep Learning Blood Glucose
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A Feasibility Study of a Video-Based Application by Parents of Infants Born Full-Term and Preterm.

Pediatric physical therapy : the official publication of the Section on Pediatrics of the American Physical Therapy Association Jul 1, 2025
PURPOSE: To examine the factors that influence the usability of a video-based mobile application (app) by parents of infants born full-term and preterm.
Humans Female Infant, Newborn Adult Infant, Premature Parents Male Feasibility Studies Infant Video Recording Mobile Applications
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Evaluating Prevalence of Preterm Postnatal Growth Faltering Using Fenton 2013 and INTERGROWTH-21st Growth Charts with Logistic and Machine Learning Models.

Nutrients May 20, 2025
Postnatal growth faltering (PGF) significantly affects premature neonates, leading to compromised neurodevelopment and an increased risk of long-term health complications. This retrospective study at a level III NICU of a tertiary hospital analyzed...
Growth Disorders Logistic Models Infant, Premature Infant, Newborn Male Prevalence Gestational Age Infant, Small for Gestational Age Growth Charts Retrospective Studies Female Humans Machine Learning
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Improving Neonatal Care with AI: Class Weight Optimization for Respiratory Distress Syndrome Prediction in Very Low Birth Weight Infants.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
In this study, we developed an AI model to predict Respiratory Distress Syndrome (RDS) in premature infants, aiming to reduce unnecessary treatment with artificial pulmonary surfactant. We analyzed data from 13,120 infants in 76 hospitals, considerin...
Infant, Premature Infant, Very Low Birth Weight Respiratory Distress Syndrome, Newborn Infant, Newborn Male Support Vector Machine Machine Learning Algorithms Female Neural Networks, Computer Artificial Intelligence Humans
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Is Artificial Intelligence for Retinopathy of Prematurity Ready to Go?

JAMA ophthalmology Apr 1, 2024
Artificial Intelligence Infant, Newborn Infant, Premature Retinopathy of Prematurity Humans
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Application of Artificial Intelligence in Infant Movement Classification: A Reliability and Validity Study in Infants Who Were Full-Term and Preterm.

Physical therapy Feb 1, 2024
OBJECTIVE: Preterm infants are at high risk of neuromotor disorders. Recent advances in digital technology and machine learning algorithms have enabled the tracking and recognition of anatomical key points of the human body. It remains unclear whethe...
Artificial Intelligence Humans Term Birth Infant, Newborn Reproducibility of Results Movement Infant Infant, Premature
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Comparative Analysis of Machine Learning Algorithms Evaluating the Single Nucleotide Polymorphisms of Metabolizing Enzymes with Clinical Outcomes Following Intravenous Paracetamol in Preterm Neonates with Patent Ductus Arteriosus.

Current drug metabolism Jan 1, 2024
AIMS: Pharmacogenomics has been identified to play a crucial role in determining drug response. The present study aimed to identify significant genetic predictor variables influencing the therapeutic effect of paracetamol for new indications in prete...
Administration, Intravenous Acetaminophen Analgesics, Non-Narcotic Ductus Arteriosus, Patent Treatment Outcome Cytochrome P-450 Enzyme System Infant, Premature Infant, Newborn Machine Learning Male Algorithms Polymorphism, Single Nucleotide Prospective Studies Humans Female
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