Latest AI and machine learning research in pediatrics for healthcare professionals.
Obesity is a complex, rapidly escalating global health challenge that demands innovation across biology, clinical care, and public health. This review synthesizes evidence on artificial intelligence (AI) revolutionizing obesity research and management. In mechanistic discovery, AI techniques like deep neural networks and graph architectures integrate multi-omics, microbiome, and wearable-sensor da...
BACKGROUND: Limited medical professionals, particularly in rural community, impedes patient treatment. Rapid prenatal risk assessments are critical for improving pregnancy care under these resource constraints. OBJECTIVE: To develop and evaluate an innovative digital system that assists midwives in recognizing prenatal risks and in making clinical decisions in maternity hospitals, especially in ru...
BACKGROUND: Anemia is one of the most common hematological disorders causing fatigue, increased vulnerability to infection, low birth weight, and thre...
AIM: To assess the value of quantitative EEG (qEEG) as a diagnostic and prognostic biomarker in infants with abusive head trauma (AHT). Despite its ce...
Vaccination is an effective approach that saves the lives of millions of people. Computer tools and technologies have recently helped design novel, sa...
Pediatric femoral neck fractures (FNFs) are uncommon but may result in severe complications if undiagnosed. This study developed a deep learning model...
Gamma oscillations are critical for cortical cognitive processing. The ability to generate gamma oscillations evolves with age and requires cellular a...
One of the regions in Indonesia that has the highest prevalence of stunting cases is West Nusa Tenggara, with a percentage of cases almost reaching 12...
BACKGROUND: This study aims to develop a Machine Learning (ML) model to predict the initial diagnosis of Amyotrophic Lateral Sclerosis (ALS). METHODS:...
Acute kidney injury (AKI) is a devastating complication of acute illness that affects adults and children across multiple settings worldwide and is as...
PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease with variable presentation. As revascularization tec...
The growth of the digital age has corresponded with decreased operative experience and concern for low readiness for practice among surgical trainees,...
Artificial intelligence has emerged as a promising tool in fetal medicine, with applications in prenatal imaging, anomaly detection, and biometric ana...
BACKGROUND: Body image and eating behaviours are common areas of concern for early adolescents. Artificial Intelligence (AI) interactions are becoming...
AIM: Low back pain (LBP) affects a significant proportion of the population. There has been an increase in referrals for magnetic resonance imaging (M...
BACKGROUND: Adolescent major depressive disorder (MDD) has become a growing public health concern, with rising prevalence over the past decade and sig...
High-dose methotrexate for pediatric cancer treatment is frequently associated with mucositis, which can lead to delayed or discontinued treatment and...
Artificial intelligence (AI) is gradually altering urology by improving diagnostic precision, prognostic evaluation, and therapy decisions in a broad ...
OBJECTIVES: Exclusive enteral nutrition (EEN) is a first-line treatment for induction of remission in luminal pediatric Crohn disease (pCD). However, ...
Abdominal aortic aneurysms (AAAs) are progressive focal dilatations of the abdominal aorta. AAAs may rupture, with fatal consequences in >80% of cases...