Latest AI and machine learning research in pediatrics for healthcare professionals.
Chronic kidney disease (CKD) in children is a rare but serious condition characterized by progressive renal dysfunction and a range of systemic complications. Renal fibrosis plays a central role in disease progression, representing irreversible damage associated with poor outcomes. Currently, diagnosis and assessment of fibrosis rely primarily on invasive renal biopsy, which is limited by procedur...
Attention-Deficit/Hyperactivity Disorder (ADHD) is a widely recognized neurodevelopmental disorder characterized by inattention, hyperactivity, and impulsivity. Behavioral assessment, the current gold standard for diagnosis, is subject to inaccuracies due to its subjective nature and is limited to post-symptom onset evaluations. Early diagnosis is pivotal for enhancing the quality of life in ADHD ...
Tic disorders (TD) are common neurodevelopmental conditions in children and adolescents, characterized primarily by motor and vocal tics, with heterog...
BACKGROUND: Facility delivery attended by skilled health professionals is a critical strategy for reducing maternal and neonatal mortality. Despite su...
The post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID, represent a multifaceted challenge in pediatric populations, characterized by s...
Understanding the molecular basis of phenotypic trait variation is key in improving field performance in plants. Many plants have high within seed sou...
Health care is entering an era of unprecedented detection. Artificial intelligence (AI)-driven monitors and real-world data streams now identify clini...
Concern about expressing depressive symptoms on social media is growing in the digital age. Traditional detection methods can identify depression but ...
Respiratory tract infections (RTIs) are a significant cause of morbidity in children, caused by a wide range of pathogens. As treatment strategies dep...
Most artificial intelligence (AI) governance frameworks in healthcare address model development, reporting standards, or regulation in broad terms, bu...
BACKGROUND: Digital health technologies are fundamentally reshaping healthcare delivery, access, and governance worldwide. While these innovations off...
PURPOSE: This systematic review and meta-analysis evaluated the performance of artificial intelligence (AI)-based models in diagnosing pediatric asthm...
Accurate porosity prediction from well logs is critical for reservoir characterization, yet existing deep learning approaches face notable limitations...
BACKGROUND: Respiratory syncytial virus (RSV) is a leading cause of lower respiratory tract infections in children, but effective treatment options re...
PURPOSE: This study aims to compare the responses provided by commonly used artificial intelligence-based chatbots such as ChatGPT-3.5, ChatGPT-4o, Ge...
Clinical monitoring in the most vulnerable patients, such as newborns, relies on invasive and costly procedures and/or wired sensor surveillance, incr...
OBJECTIVES: Accurate identification of xylazine-associated wounds (XAWs) is critical to providing timely and optimal management; however, discerning t...
BACKGROUND: Balanced steady-state free-precession (bSSFP) cine imaging is the clinical standard for ventricular function assessment but requires multi...
BACKGROUND: Cardiac computed tomography (CT) is widely utilized in pediatric cardiology, but minimizing radiation exposure is essential. Recently, sup...
Climate change is a major driver of transformation in livestock systems; however, existing reviews remain fragmented, often addressing environmental i...