Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Artificial intelligence (AI) is changing continuing professional development (CPD) in he...
Hepatitis B transmission is influenced by environmental variability, immune response and vaccination...
In 2025, significant progress has been made in the management of heart failure and cardiovascular di...
BACKGROUND: Clinical decision support (CDS) systems have been widely adopted in health care to enhan...
OBJECTIVES: To develop a fine-tuned version of the generative pretrained transformer (GPT)-4o artifi...
BACKGROUND: We aimed to build a serum proteomics-based model to predict primary nonresponse (PNR) to...
BACKGROUND: Large language models (LLMs) have fundamentally transformed approaches to natural langua...
BACKGROUND: Delirium is a frequent postoperative complication among patients who have undergone card...
OBJECTIVES: To evaluate the usability, usefulness and impact of a novel point of care natural langua...
This study aims to synthesize the perceptions and expectations of long-term caregivers regarding the...
Individual animal identification is crucial for dairy cattle management, regulatory compliance, and ...
PURPOSE OF REVIEW: The literature review is pertinent because diagnosing pediatric tuberculosis (PdT...
In forests of the southwestern US, the seasonality - or phenology - of tree growth is affected by a ...
Congenital heart disease (CHD) is a major cause of infant mortality and presents life-long challenge...
Large language models (LLMs) are increasingly used by patients and families to interpret complex med...
OBJECTIVES: To examine the emotional, cognitive and dispositional experience of children and adolesc...
BACKGROUND: Acute Kidney Injury (AKI) is common in neonates admitted to the Neonatal Intensive Care ...
OBJECTIVE: The benefit of interventions to improve neonatal outcomes of preterm birth (PTB) must be ...