AIMC Topic: Infant

Clear Filters Showing 131 to 140 of 987 articles

A pediatric emergency prediction model using natural language process in the pediatric emergency department.

Scientific reports Jan 28, 2025
This study developed a predictive model using deep learning (DL) and natural language processing (NLP) to identify emergency cases in pediatric emergency departments. It analyzed 87,759 pediatric cases from a South Korean tertiary hospital (2012-2021...
Pediatrics Child, Preschool Child Natural Language Processing Emergency Service, Hospital Female Male Infant Deep Learning Humans Machine Learning Electronic Health Records Republic of Korea
View on PubMed DOI

Prediction of surgical necessity in children with ureteropelvic junction obstruction using machine learning.

Irish journal of medical science Jan 27, 2025
BACKGROUND: Hydronephrosis developing at the ureteropelvic junction due to obstruction poses clinical challenges as it has the potential to cause renal damage.
Ureteral Obstruction Male Infant Humans Child, Preschool Machine Learning Child Retrospective Studies ROC Curve Female Logistic Models Kidney Pelvis Hydronephrosis
View on PubMed DOI

Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.

PloS one Jan 27, 2025
During winter months, there is increased pressure on health care systems in temperature climates due to seasonal increases in respiratory illnesses. Providing real-time short-term forecasts of the demand for health care services helps managers plan t...
Humans Machine Learning Forecasting Emergency Service, Hospital Infant Seasons Pilot Projects Respiratory Syncytial Virus Infections England Health Services Needs and Demand Child, Preschool
View on PubMed DOI

Plasma IL-17A is increased in patients with critical MIS-C and associated to in-hospital mortality.

Frontiers in immunology Jan 27, 2025
BACKGROUND: Multisystem inflammatory syndrome in children (MIS-C) is a rare and severe post-COVID-19 complication with multiple phenotypes.
Child, Preschool Child Interleukin-17 Hospital Mortality SARS-CoV-2 Humans Male COVID-19 Infant Adolescent Prospective Studies Systemic Inflammatory Response Syndrome Biomarkers Intensive Care Units, Pediatric Female Oxidative Stress Infant, Newborn ROC Curve
View on PubMed DOI

Deep learning for forensic age estimation using orthopantomograms in children, adolescents, and young adults.

European radiology Jan 25, 2025
OBJECTIVES: Forensic age estimation from orthopantomograms (OPGs) can be performed more quickly and accurately using convolutional neural networks (CNNs), making them an ideal extension to standard forensic age estimation methods. This study evaluate...
Neural Networks, Computer Female Reproducibility of Results Child, Preschool Young Adult Child Male Humans Radiography, Panoramic Infant Deep Learning Age Determination by Teeth Adolescent
View on PubMed DOI

Utilizing machine learning to predict hospital admissions for pediatric COVID-19 patients (PrepCOVID-Machine).

Scientific reports Jan 24, 2025
The COVID-19 pandemic has burdened healthcare systems globally. To curb high hospital admission rates, only patients with genuine medical needs are admitted. However, machine learning (ML) models to predict COVID-19 hospitalization in Asian children ...
SARS-CoV-2 Hospitalization Male Infant Child, Preschool Child Malaysia COVID-19 Algorithms Female Infant, Newborn Humans Machine Learning
View on PubMed DOI

Predicting postoperative adhesive small bowel obstruction in infants under 3 months with intestinal malrotation: a random forest approach.

Jornal de pediatria Jan 21, 2025
OBJECTIVE: This study aimed to develop a predictive model using a random forest algorithm to determine the likelihood of postoperative adhesive small bowel obstruction (ASBO) in infants under 3 months with intestinal malrotation.
Intestinal Obstruction Intestine, Small Intestinal Volvulus Sensitivity and Specificity Male Postoperative Complications Infant ROC Curve Predictive Value of Tests Humans Tissue Adhesions Retrospective Studies Machine Learning Random Forest Female Algorithms Infant, Newborn Risk Factors
View on PubMed DOI

Machine learning demonstrates clinical utility in distinguishing retinoblastoma from pseudo retinoblastoma with RetCam images.

Ophthalmic genetics Jan 20, 2025
BACKGROUND: Retinoblastoma is diagnosed and treated without biopsy based solely on appearance (with the indirect ophthalmoscope and imaging). More than 20 benign ophthalmic disorders resemble retinoblastoma and errors in diagnosis continue to be made...
Male Infant Child, Preschool Child Neural Networks, Computer Machine Learning Female Sensitivity and Specificity Diagnosis, Differential Retinal Neoplasms Retinoblastoma Humans
View on PubMed DOI

Predicting stunting status among under-5 children in Rwanda using neural network model: Evidence from 2020 Rwanda demographic and health survey.

F1000Research Jan 20, 2025
BACKGROUND: Stunting is a serious public health concern in Rwanda, affecting around 33.3% of children under five in 2020. The researchers have employed machine learning algorithms to predict stunting in Rwanda; however, few studies used ANNs, despite...
Child, Preschool Male Humans Health Surveys Infant Rwanda Neural Networks, Computer Growth Disorders Female
View on PubMed DOI

Predicting fall parameters from infant skull fractures using machine learning.

Biomechanics and modeling in mechanobiology Jan 18, 2025
When infants are admitted to the hospital with skull fractures, providers must distinguish between cases of accidental and abusive head trauma. Limited information about the incident is available in such cases, and witness statements are not always r...
Machine Learning Infant Accidental Falls Skull Fractures Humans Finite Element Analysis
View on PubMed DOI
Popular Topics
Recent Journals