Latest AI and machine learning research in pediatrics for healthcare professionals.
Breast milk is crucial for infant health, offering essential nutrients and immune protection. Howeve...
BACKGROUND: The POOL study explored intrapartum water immersion and associated maternal and neonatal...
BACKGROUND: Uncontrolled diabetes mellitus (DM) accelerates atherosclerosis and vascular diseases, l...
BACKGROUND: The efficacy of Laryngeal Mask Airway (LMA) epinephrine during neonatal resuscitation ha...
Kefir, a fermented milk product, differs from yogurt due to its unique microbial composition, offeri...
Citric acid, a common food ingredient, can induce cellular stress in foodborne pathogens, potentiall...
This study aimed to investigate the prognosis of adolescent patients with anterior disk displacement...
Medical interns are at high risk of acquiring Hepatitis B Virus (HBV) infection during their trainin...
Late-gestation in utero heat stress derails organ development and growth, leading to reduced first-l...
Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics....
The article presents results of analysis of current trends, challenges and prospects of health care ...
Epstein-Barr virus (EBV)-induced infectious mononucleosis (IM) is a prevalent pediatric condition wi...
OBJECTIVE: To compare the performance of the Generative Pre-trained Transformer model 4 (ChatGPT-4) ...
The adoption and scaling of technology in public health settings in the Global South have traditiona...
Acute myeloid leukemia (AML) is a severe hematological malignancy characterized by high recurrence r...
This study aims to explore the feasibility and accuracy of deep learning-based pediatric behavioral ...
Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adver...
BACKGROUND: Urinary incontinence affects approximately 7% to 10% of children during the day and 9% t...
A scalable epitaxy of 2D layered materials and heterostructures constitutes a crucial step in develo...
BACKGROUND AND PURPOSE: Privacy concerns, such as identifiable facial features within brain scans, h...
This study presents a neural network-based framework for COVID-19 transmission prediction and health...