Latest AI and machine learning research in pediatrics for healthcare professionals.
OBJECTIVE: Artificial intelligence (AI) is increasingly explored in pediatric surgical care, yet its translation into diagnostics and preoperative planning lags behind adult surgery. Unlike prior reviews, this study provides a comprehensive synthesis across four domains, diagnostics, preoperative planning, risk stratification, and surgical error prevention, highlighting recent advances and unmet c...
Atomically thin two-dimensional (2D) ceramics, such as monolayer hexagonal boron nitride (h-BN), present potential for disruptive advances in separations. However, sub-atomic scale separation of hydrogen isotopes (H+/D+) require near pristine 2D material membranes, and scalable synthesis of such high-quality h-BN comparable to mechanically exfoliated crystals remains a significant challenge. Here,...
OBJECTIVES: To assess the joint effects of SARS-CoV-2 viral traits (ACE2 binding, immune escape, and cell entry) and socio-demographic context on vira...
INTRODUCTION: Severe pneumonia is a leading infectious cause of mortality in children under 5Â years globally. Early identification of high-risk cases ...
Retinopathy of prematurity (ROP) is a vasoproliferative blinding disorder of the retina, unique to premature infants and a leading cause of preventabl...
OBJECTIVE: This study aimed to compare the performance of artificial intelligence-based deep convolutional neural networks, YOLOv8, YOLOv11, and YOLOv...
BACKGROUND: The natural language processing (NLP) algorithm for predetermined asthma criteria (NLP-PAC) was successfully developed and validated for a...
BACKGROUND: The fetal abdomen is crucial in prenatal screening, offering key insights into fetal growth and congenital anomalies. However, segmenting ...
BACKGROUND: Current research has focused on the use of large language models (LLMs) to augment systematic reviews. LLMs are limited by their vulnerabi...
PURPOSE: To objectively quantify the motion paths of surgical instruments during cataract surgery across a resident's training, identifying patterns o...
Artificial intelligence (AI) has the potential to significantly improve the practice of medicine. However, its application in pediatric critical care ...
BACKGROUND: The use of technology to support nurses' decision-making is increasing in response to growing healthcare demands. AI, a global trend, hold...
This article highlights the advancements in total-body PET (TB PET) imaging, emphasizing its benefits for pediatric patients, including low-dose proto...
PURPOSE OF REVIEW: Critical care nutrition remains a high-stakes and error-prone domain, particularly given the complex metabolic demands and heteroge...
Pesticides are essential for crop protection, but their potential toxicity poses significant environmental and health risks. Although numerous toxicol...
BackgroundAccurate intraoperative blood loss estimation is crucial, particularly for pediatric and adolescent patients. Traditional methods (visual, g...
BACKGROUND: Childhood depression is an emerging global concern, yet knowledge and early detection tools remain limited in low- and middle-income regio...
Congenital anomalies of the kidney and urinary tract (CAKUT) are the major cause of childhood chronic kidney disease and an antecedent cause of adult-...
STUDY OBJECTIVE: To compare the use of ambient artificial intelligence (AI) versus human scribes in the emergency department in terms of note quality ...
Oropharyngeal cancer (OPC) is increasingly driven by human papillomavirus (HPV), particularly HPV16, marking a shift in its epidemiology, prognosis, a...