Latest AI and machine learning research in pediatrics for healthcare professionals.
At the heart of medicine lies physician-patient dialogue, where skillful history-taking enables effe...
The identification of chemical compounds regulating plant growth in a genetic context can greatly en...
PURPOSE: Clinical management of pediatric chronic kidney disease requires estimation of glomerular f...
Using transcriptomic profiling at single-cell resolution, we investigated cell-intrinsic and cell-ex...
Conversational artificial intelligence, in the form of chatbots powered by large language models, of...
This scoping review systematically examines the emerging field of multimodal family engagement techn...
Early diagnosis and access to resources, support and therapy are critical for improving long-term ou...
Wheat is one of the world's most widely cultivated cereal crops and is a primary food source for a s...
OBJECTIVES: The performance of chatbots for discrete steps of a systematic review (SR) on artificial...
BACKGROUND: Suicide is the second leading cause of death among early adolescents, yet the first onse...
Neonatal jaundice, characterized by elevated bilirubin levels causing yellow discoloration of the sk...
INTRODUCTION: This study investigates the potential of a deep learning-based Life Log Sharing Model ...
Kawasaki disease (KD) is a common pediatric vasculitis, with coronary artery lesions (CALs) represen...
Timely recognition and initiation of basic life support (BLS) before emergency medical services arri...
BACKGROUND: Delirium in intensive care unit (ICU) patients poses a significant challenge, affecting ...
Disseminated intravascular coagulation (DIC) is a thrombo-hemorrhagic disorder that can be life-thre...
BACKGROUND: Hands-and-knees crawling is a promising rehabilitation intervention for infants with mot...
The emergence of large language models (LLMs) has led to notable advancements across multiple sector...
Premature birth can be defined as birth before 37 weeks of gestation, which is a significant global ...
OBJECTIVE: Metabolic syndrome (MS) is a risk factor for cardiovascular diseases, and its prevalence ...
BACKGROUND: As auto-segmentation tools become integral to radiotherapy, more commercial products eme...