Latest AI and machine learning research in pediatrics for healthcare professionals.
Inflammatory bowel disease (IBD) was once considered rare in Korea, with the first reported case doc...
Osteoporosis, a prevalent skeletal disorder, necessitates accurate and accessible diagnostic tools f...
BACKGROUND: During adolescence, individuals face various challenges that require adequate psychosoci...
INTRODUCTION: Substance use disorders (SUD) have emerged as a pressing public health concern in the ...
Adolescent lumbar disc herniation (ALDH) is a type of disease with a much lower incidence than adult...
INTRODUCTION: Depression and anxiety are highly prevalent mental health conditions that significantl...
This editorial explores the concept of the 'value of information' in the 21st century through five d...
Ensuring complete utilization of maternal continuum of care is essential for reducing maternal and n...
Use of highly purified antigens to improve vaccine safety has led to reduced immunogenicity and effi...
This paper explores the contribution of artificial intelligence (AI), green technology innovation (G...
BACKGROUND: Delirium is a prevalent phenomenon among patients admitted to the geriatric intensive ca...
BACKGROUND: The opioid crisis poses a significant health challenge in the United States, with increa...
BACKGROUND: Early sepsis diagnosis is essential for initiating prompt treatment, preventing the prog...
BACKGROUND: Varicella is a prevalent respiratory infectious disease. Continuous monitoring is essent...
BACKGROUND: Disinformation on social media can seriously affect mental health by spreading false inf...
BACKGROUND: Rapid weight gain (RWG) during infancy, defined as an upward crossing of one centile lin...
The growing cancer burden and suboptimal diagnostic capacity in low- and middle-income countries cal...
BACKGROUND: Plastic-containing medical devices are commonly used in critical care units and other pa...
Vaccination has long been recognized as the most effective means for disease prevention, yet concern...
PURPOSE: Fibroblast growth factor receptors (FGFRs; FGFR1, FGFR2, FGFR3, FGFR4) are frequently mutat...
AIM: We aimed to develop a machine-learning(ML) algorithm consisting of physical examination, sonogr...