AIMC Topic: Child, Preschool

Clear Filters Showing 61 to 70 of 1236 articles

Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model - a study in Eastern China.

BMC public health Apr 9, 2025
BACKGROUND: Allergic rhinitis is a common disease that can affect the health of patients and bring huge social and economic burdens. In this study, we developed a model to predict the incidence rate of allergic rhinitis so as to provide accurate info...
Air Pollution Rhinitis, Allergic Ambulatory Care Outpatients Adolescent Incidence Child, Preschool Child Female Male Aged Humans Middle Aged Young Adult Artificial Intelligence Infant Adult Forecasting China
View on PubMed DOI

The potential of evaluating shape drawing using machine learning for predicting high autistic traits.

PloS one Apr 9, 2025
BACKGROUND: Children with high autistic traits often exhibit deficits in drawing, an important skill for social adaptability. Machine learning is a powerful technique for learning predictive models from movement data, so drawing processes and product...
Autistic Disorder Eye Movements Humans Child, Preschool Machine Learning Child Female Support Vector Machine Male
View on PubMed DOI

A comparison of neural networks and regression-based approaches for estimating kidney function in pediatric chronic kidney disease: Practical predictive epidemiology for clinical management of a progressive disease.

Annals of epidemiology Apr 8, 2025
PURPOSE: Clinical management of pediatric chronic kidney disease requires estimation of glomerular filtration rate (eGFR). Currently, eGFR is determined by two endogenous markers measured in blood: serum creatine (SCr) and cystatin C (CysC). Machine ...
Kidney Function Tests Regression Analysis Cystatin C Creatinine Child, Preschool Humans Creatine Female Child Neural Networks, Computer Male Renal Insufficiency, Chronic Biomarkers Disease Progression Glomerular Filtration Rate Adolescent
View on PubMed DOI

Leveraging artificial intelligence for diagnosis of children autism through facial expressions.

Scientific reports Apr 8, 2025
The global population contains a substantial number of individuals who experience autism spectrum disorder, thus requiring immediate identification to enable successful intervention approaches. The authors assess the detection of autism-related learn...
Humans Artificial Intelligence Autism Spectrum Disorder Female Facial Expression Male Autistic Disorder Deep Learning Child, Preschool Child
View on PubMed DOI

Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data.

Scientific reports Apr 7, 2025
Early diagnosis and access to resources, support and therapy are critical for improving long-term outcomes for children with autism spectrum disorder (ASD). ASD is typically detected using a case-finding approach based on symptoms and family history,...
Neonatal Screening Autism Spectrum Disorder Female Infant, Newborn Humans Male Infant Child, Preschool Databases, Factual Ontario Deep Learning Registries
View on PubMed DOI

Prediction of moderate to severe bleeding risk in pediatric immune thrombocytopenia using machine learning.

European journal of pediatrics Apr 7, 2025
UNLABELLED: This study aimed to develop and validate a risk prediction model for moderate to severe bleeding in children with immune thrombocytopenia (ITP). Data from 286 ITP patients were prospectively collected and randomly split into training (80%...
Severity of Illness Index Adolescent Child, Preschool Child Female Hemorrhage Male Platelet Count Risk Assessment Purpura, Thrombocytopenic, Idiopathic Infant Humans Machine Learning Prospective Studies
View on PubMed DOI

Contemporary digital marketing techniques used in unhealthy food campaigns targeting young people.

Appetite Apr 2, 2025
The digital marketing of unhealthy foods and non-alcoholic beverages has a detrimental impact on children's eating behaviours, leading to adverse diet-related health outcomes. To inform the development of evidence-based strategies to protect children...
Female Male Adolescent Child, Preschool Humans Food Industry Feeding Behavior Child Food Preferences Food Health Promotion Marketing Beverages Digital Technology
View on PubMed DOI

Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children.

Scientific reports Apr 2, 2025
Disseminated intravascular coagulation (DIC) is a thrombo-hemorrhagic disorder that can be life-threatening in critically ill children, and the quest for an accurate and efficient method for early DIC prediction is of paramount importance. Candidate ...
Male Infant Adolescent Child, Preschool Machine Learning Critical Illness Female Infant, Newborn Child Logistic Models Support Vector Machine Disseminated Intravascular Coagulation Humans
View on PubMed DOI

Trade-off of different deep learning-based auto-segmentation approaches for treatment planning of pediatric craniospinal irradiation autocontouring of OARs for pediatric CSI.

Medical physics Apr 1, 2025
BACKGROUND: As auto-segmentation tools become integral to radiotherapy, more commercial products emerge. However, they may not always suit our needs. One notable example is the use of adult-trained commercial software for the contouring of organs at ...
Radiotherapy Planning, Computer-Assisted Automation Craniospinal Irradiation Child, Preschool Child Image Processing, Computer-Assisted Humans Organs at Risk Tomography, X-Ray Computed Deep Learning Adolescent
View on PubMed DOI

Automatic detection of developmental stages of molar teeth with deep learning.

BMC oral health Apr 1, 2025
BACKGROUND: The aim was to fully automate molar teeth developmental staging and to comprehensively analyze a wide range of deep learning models' performances for molar tooth germ detection on panoramic radiographs.
Humans Neural Networks, Computer Female Young Adult Adult Child Radiography, Panoramic Molar Tooth Germ Male Deep Learning Adolescent Child, Preschool
View on PubMed DOI
Popular Topics
Recent Journals