AIMC Topic: Infant

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Prediction of Cochlear Implant Fitting by Machine Learning Techniques.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology May 21, 2024
OBJECTIVE: This study aimed to evaluate the differences in electrically evoked compound action potential (ECAP) thresholds and postoperative mapping current (T) levels between electrode types after cochlear implantation, the correlation between ECAP ...
Humans Machine Learning Retrospective Studies Prosthesis Fitting Child Evoked Potentials, Auditory Cochlear Implantation Cochlear Implants Female Male Infant Child, Preschool
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Prediction of incomplete immunization among under-five children in East Africa from recent demographic and health surveys: a machine learning approach.

Scientific reports May 21, 2024
The World Health Organization as part of the goal of universal vaccination coverage by 2030 for all individuals. The global under-five mortality rate declined from 59% in 1990 to 38% in 2019, due to high immunization coverage. Despite the significant...
Health Surveys Vaccination Immunization Vaccination Coverage Africa, Eastern Humans Machine Learning Female Adult Male Infant Child, Preschool
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Innovative AI methods for monitoring front-of-package information: A case study on infant foods.

PloS one May 16, 2024
Front-of-package (FOP) is one of the most direct communication channels connecting manufacturers and consumers, as it displays crucial information such as certification, nutrition, and health. Traditional methods for obtaining information from FOPs o...
Food Packaging Humans Infant Food Artificial Intelligence Food Labeling Infant
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Social robots in research on social and cognitive development in infants and toddlers: A scoping review.

PloS one May 15, 2024
There is currently no systematic review of the growing body of literature on using social robots in early developmental research. Designing appropriate methods for early childhood research is crucial for broadening our understanding of young children...
Infant Child, Preschool Cognition Robotics Child Development Social Behavior Humans
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Predicting mothers' exclusive breastfeeding for the first 6 months: Interface creation study using machine learning technique.

Journal of evaluation in clinical practice May 14, 2024
BACKGROUND: Machine learning techniques (MLT) build models to detect complex patterns and solve new problems using big data.
Mothers Humans Machine Learning Algorithms Female Adult Infant Breast Feeding
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The value of linear and non-linear quantitative EEG analysis in paediatric epilepsy surgery: a machine learning approach.

Scientific reports May 13, 2024
Epilepsy surgery is effective for patients with medication-resistant seizures, however 20-40% of them are not seizure free after surgery. Aim of this study is to evaluate the role of linear and non-linear EEG features to predict post-surgical outcome...
Adolescent Machine Learning Child, Preschool Humans Female Child Neural Networks, Computer Male Treatment Outcome Infant Electroencephalography Epilepsy Sleep
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Predicting early mortality and severe intraventricular hemorrhage in very-low birth weight preterm infants: a nationwide, multicenter study using machine learning.

Scientific reports May 12, 2024
Our aim was to develop a machine learning-based predictor for early mortality and severe intraventricular hemorrhage (IVH) in very-low birth weight (VLBW) preterm infants in Taiwan. We collected retrospective data from VLBW infants, dividing them int...
Infant, Newborn Male Infant Taiwan Machine Learning Prognosis Retrospective Studies Female Gestational Age Infant, Premature, Diseases Cerebral Intraventricular Hemorrhage Infant, Very Low Birth Weight Cerebral Hemorrhage Birth Weight Infant Mortality Infant, Premature Humans
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Machine Learning Quantification of Pulmonary Regurgitation Fraction from Echocardiography.

Pediatric cardiology May 10, 2024
Assessment of pulmonary regurgitation (PR) guides treatment for patients with congenital heart disease. Quantitative assessment of PR fraction (PRF) by echocardiography is limited. Cardiac MRI (cMRI) is the reference-standard for PRF quantification. ...
Magnetic Resonance Imaging, Cine Pulmonary Valve Insufficiency Male Echocardiography Infant Adolescent Retrospective Studies Child, Preschool Female Child Humans Young Adult ROC Curve Machine Learning Heart Defects, Congenital Adult Algorithms
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Establishment and Verification of an Artificial Intelligence Prediction Model for Children With Sepsis.

The Pediatric infectious disease journal May 8, 2024
BACKGROUND: Early identification of high-risk groups of children with sepsis is beneficial to reduce sepsis mortality. This article used artificial intelligence (AI) technology to predict the risk of death effectively and quickly in children with sep...
Artificial Intelligence Retrospective Studies Female Infant, Newborn Humans Child, Preschool Male Neural Networks, Computer Child Infant Intensive Care Units, Pediatric Sepsis Support Vector Machine Adolescent
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Child face detection on front passenger seat through deep learning.

Traffic injury prevention May 8, 2024
OBJECTIVE: One of the main causes of death worldwide among young people are car crashes, and most of these fatalities occur to children who are seated in the front passenger seat and who, at the time of an accident, receive a direct impact from the a...
Adult Infant, Newborn Humans Deep Learning Accidents, Traffic Aged Female Male Automated Facial Recognition Adolescent Young Adult Middle Aged Face Child, Preschool Infant Child Restraint Systems Child
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