Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Health care systems are increasingly confronted with the challenge of managing complex clinical processes. One proposed solution is a patient-centered management intervention called a care pathway that needs process mapping to support process improvement. Although the adoption and use of Business Process Modeling Notation (BPMN) for modeling patient health care trajectories has increas...
Steroid hormones influence affective behavior and its underlying neural networks. However, distinguishing between organizational and activational hormonal effects, along with effects of socialization, remains challenging, limiting the understanding of the mechanisms underlying affective neurobehavioral differences. Individuals with differences in sex development (DSD), such as congenital adrenal h...
Avatrombopag (AVA), an oral thrombopoietin receptor agonist (TPO-RA), has demonstrated favorable efficacy in the treatment of pediatric immune thrombo...
Innovations in polymer chemistry and materials science have accelerated the development of high-performance flexible electronics for applications in v...
BACKGROUND: Parents of children with pediatric orthopaedic conditions frequently have questions after their clinic visit, and a reliable postconsultat...
PURPOSE: Ambient documentation tools (ADTs) are an emerging technology designed to help clinicians complete documentation more effectively with less t...
BACKGROUND: General-purpose vision-language models can analyze medical images without task-specific training, but their value for pediatric abdominal ...
BACKGROUND: Pediatric heart disease (PHD), including congenital heart defects, is often incompletely captured in electronic health records, particular...
INTRODUCTION: To develop and externally validate machine learning (ML) models for predicting treatment response and adverse events in children with at...
This research presents the development and optimization of a Tin Oxide (SnO₂)-based resistive humidity sensor for accurate monitoring in incubator sys...
Achieving a harmonious symbiosis between economic prosperity and environmental sustainability remains a defining challenge for global sustainable deve...
Pre-trained LSTM-RNN models with linear kernels fail to capture irregular, non-linear lesion growth patterns. In this paper presents a new deep learni...
BACKGROUND: Thin-slice MRI may improve appendix visualization in children with suspected appendicitis, but reducing slice thickness decreases signal-t...
Artificial intelligence (AI) technologies such as machine learning (ML), deep learning (DL), predictive analytics and other tools are rapidly changing...
The latest episode of cough syrup-associated pediatric deaths in India linked to the reported diethylene glycol (DEG) contamination reverberates a lon...
Human social interactions rely on the ability to reflect on one's own and others' internal states and traits-a process known as mentalizing. Impaired ...
This article describes an obstetric dataset covering the full continuum of care of 5000 synthetic low-risk pregnant women, from preconception to post-...
Although developmental language delays affect approximately 10% of children in the general population, the neurodevelopmental mechanisms that support ...
BACKGROUND: Brain age estimation provides a noninvasive MRI biomarker of neurodevelopment. In infancy, rapid regionally ordered myelination reflects b...
Noninvasive, precise breath analysis holds significant importance for the screening and monitoring of neonatal jaundice, with its core challenge lying...