AIMC Topic: Infant

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iCatcher: A neural network approach for automated coding of young children's eye movements.

Infancy : the official journal of the International Society on Infant Studies Apr 13, 2022
Infants' looking behaviors are often used for measuring attention, real-time processing, and learning-often using low-resolution videos. Despite the ubiquity of gaze-related methods in developmental science, current analysis techniques usually involv...
Attention Child, Preschool Child Humans Neural Networks, Computer Learning Infant Eye Movements
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Machine learning predicts blood lactate levels in children after cardiac surgery in paediatric ICU.

Cardiology in the young Apr 4, 2022
BACKGROUND: Although serum lactate levels are widely accepted markers of haemodynamic instability, an alternative method to evaluate haemodynamic stability/instability continuously and non-invasively may assist in improving the standard of patient ca...
Humans Machine Learning Intensive Care Units, Pediatric Cardiac Surgical Procedures Lactic Acid Algorithms Infant Child
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Ultrasound Lung Image under Artificial Intelligence Algorithm in Diagnosis of Neonatal Respiratory Distress Syndrome.

Computational and mathematical methods in medicine Mar 27, 2022
In order to analyze the application of ultrasonic lung imaging diagnosis model based on artificial intelligence algorithm in neonatal respiratory distress syndrome (NRDS), an ultrasonic lung imaging diagnosis model based on a deep residual network (D...
Ultrasonography Infant, Premature Respiratory Distress Syndrome, Newborn Lung Humans Child Algorithms Artificial Intelligence Infant, Newborn Infant
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A Multistage Heterogeneous Stacking Ensemble Model for Augmented Infant Cry Classification.

Frontiers in public health Mar 24, 2022
Understanding the reason for an infant's cry is the most difficult thing for parents. There might be various reasons behind the baby's cry. It may be due to hunger, pain, sleep, or diaper-related problems. The key concept behind identifying the reaso...
Algorithms Infant Humans Crying Neural Networks, Computer
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Study on multiplanar measurements of infant hips with three-dimensional ultrasonography.

Journal of clinical ultrasound : JCU Mar 14, 2022
PURPOSE: An automatic evaluation technology based on artificial intelligence and three-dimensional ultrasonography (3D US) is proposed for hip US inspection plane selection. This study aimed to evaluate the consistency of the α angle as measured usin...
Humans Artificial Intelligence Infant Ultrasonography
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Application of Deep Learning Techniques for Automated Diagnosis of Non-Syndromic Craniosynostosis Using Skull.

The Journal of craniofacial surgery Mar 9, 2022
Non-syndromic craniosynostosis (NSCS) is a disease, in which a single cranial bone suture is prematurely fused. The early intervention of the disease is associated with a favorable outcome at a later age, so appropriate screening of NSCS is essential...
Deep Learning Craniosynostoses Skull Retrospective Studies Infant Plagiocephaly Humans
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Construction of artificial intelligence system of carpal bone age for Chinese children based on China-05 standard.

Medical physics Mar 1, 2022
PURPOSE: The purpose of this study is to construct an automatic carpal bone age evaluation system for Chinese children based on TW3-C Carpal method by deep learning and to evaluate the accuracies in test set and clinical test set.
Infant, Newborn Infant China Humans Artificial Intelligence Carpal Bones Child Radiography Age Determination by Skeleton Adolescent Child, Preschool
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Deep learning-based quantitative analyses of spontaneous movements and their association with early neurological development in preterm infants.

Scientific reports Feb 24, 2022
This study aimed to develop quantitative assessments of spontaneous movements in high-risk preterm infants based on a deep learning algorithm. Video images of spontaneous movements were recorded in very preterm infants at the term-equivalent age. The...
Deep Learning Movement Infant Infant, Extremely Premature Female Infant, Newborn Male Humans Neural Networks, Computer Learning
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Retzius-sparing technique independently predicts early recovery of urinary continence after robot-assisted radical prostatectomy.

Journal of robotic surgery Feb 22, 2022
Robot-assisted radical prostatectomy (RARP) is the conventional surgical treatment option for localised prostate cancer. We investigated factors which may be associated with recovery of early urinary continence (EUC), including the use of the Retzius...
Robotic Surgical Procedures Prostatectomy Urinary Incontinence Robotics Prostatic Neoplasms Humans Prospective Studies Male Middle Aged Infant Treatment Outcome
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Machine Learning-Based Cry Diagnostic System for Identifying Septic Newborns.

Journal of voice : official journal of the Voice Foundation Feb 19, 2022
BACKGROUND AND OBJECTIVE: Processing the newborns' cry audio signal (CAS) provides valuable information about the newborns' condition. This information can be used to diagnose the disease. This article analyzes the CASs of newborns under two months o...
Machine Learning Female Infant, Newborn Male Infant Humans Sepsis Principal Component Analysis Monitoring, Physiologic Crying Sound Recordings
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