Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Claude, ChatGPT, Copilot, and Gemini performance versus students in different topics of neuroscience.

Despite extensive studies on large language models and their capability to respond to questions from...

(3)
Jan 2025 39824512
Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation.

CNN is considered an efficient tool in brain image segmentation. However, neonatal brain images requ...

(1)
Jan 2025 39823471
Method for assessing visual saliency in children with cerebral/cortical visual impairment using generative artificial intelligence.

Cerebral/cortical visual impairment (CVI) is a leading cause of pediatric visual impairment in the U...

(1)
Jan 2025 39897082
Applications of Machine Learning Approaches for the Discovery of SARS-CoV-2 PLpro Inhibitors.

The global impact of SARS-CoV-2 highlights the need for treatments beyond vaccination, given the lim...

(2)
Jan 2025 39818814
A comparison of the persuasiveness of human and ChatGPT generated pro-vaccine messages for HPV.

INTRODUCTION: Public health messaging is crucial for promoting beneficial health outcomes, and the l...

Jan 2025 39886390
Precision fetal cardiology detects cyanotic congenital heart disease using maternal saliva metabolome and artificial intelligence.

Prenatal sonographic diagnosis of congenital heart disease (CHD) can lead to improved morbidity and ...

Jan 2025 39814838
Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms.

BACKGROUND: Despite the adverse health outcomes associated with longer duration diarrhea (LDD), ther...

(4)
Jan 2025 39815316
Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation.

We aimed to develop and evaluate Explainable Artificial Intelligence (XAI) for fetal ultrasound usin...

Jan 2025 39820804
An Efficient Acute Lymphoblastic Leukemia Screen Framework Based on Multi-Modal Deep Neural Network.

BACKGROUND: Acute lymphoblastic leukemia (ALL) is a leading cause of death among pediatric malignanc...

(1)
Jan 2025 39810306
Deep learning-based assessment of missense variants in the gene presented with bilateral congenital cataract.

OBJECTIVE: We compared the protein structure and pathogenicity of clinically relevant variants of th...

Jan 2025 39809522
Machine-learning-assisted Preoperative Prediction of Pediatric Appendicitis Severity.

PURPOSE: This study evaluates the effectiveness of machine learning (ML) algorithms for improving th...

Jan 2025 39855986
Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model.

PURPOSE: Drug-induced liver injury (DILI) is one of the most common and serious adverse drug reactio...

(2)
Jan 2025 39830784
Deep Neural Network Analysis of the 12-Lead Electrocardiogram Distinguishes Patients With Congenital Long QT Syndrome From Patients With Acquired QT Prolongation.

OBJECTIVE: To test whether an artificial intelligence (AI) deep neural network (DNN)-derived analysi...

(3)
Jan 2025 39797862
Assessing chemical exposure risk in breastfeeding infants: An explainable machine learning model for human milk transfer prediction.

Breast milk is essential for infant health, but the transfer of xenobiotic chemicals poses significa...

Jan 2025 39799920
Development of deep learning auto-encoder algorithms for predicting alcohol use in Korean adolescents based on cross-sectional data.

Alcohol is a highly addictive substance, presenting significant global public health concerns, parti...

Jan 2025 39892039
The influence of factors related to public health campaigns on vaccination behavior among population of Wuxi region, China.

BACKGROUND: Public health campaigns are essential for promoting vaccination behavior, but factors su...

Jan 2025 39866353
Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation.

BACKGROUND: Patients supported by extracorporeal membrane oxygenation (ECMO) are at a high risk of b...

Jan 2025 39789565
Predicting early cessation of exclusive breastfeeding using machine learning techniques.

BACKGROUND: Identification of mother-infant pairs predisposed to early cessation of exclusive breast...

Jan 2025 39787191
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