Latest AI and machine learning research in pediatrics for healthcare professionals.
Accurate medication information is important for children, as dosing errors can have severe consequences compared to adults. We propose an automated method to extract pediatric information from Summaries of Product Characteristics (SPC). We used AirOps, a commercial and no-code visual editor to implement a processing chain with large language model GPT-4o mini on 50 SPCs. The task focused on evalu...
Trauma care coordination in the pediatric intensive care unit (PICU), including personalization of resources based on social determinants of health (SDoH), is challenging for already strained healthcare providers. Patient SDoH data collection is inconsistent, fragmented, and lacks standardization during hospitalization, complicating resource allocation and usability for both patients and providers...
Accurate therapeutic drug monitoring (TDM) of antibiotics including ceftriaxone, ampicillin, and vancomycin plays an important role in the treatment o...
Clustering patient subgroups is essential for personalized care and efficient resource use. Traditional clustering methods struggle with high-dimens...
Background: The use of social robotics in elderly care is increasingly discussed as one way of meeting emerging care needs due to scarce resources. ...
The integration of large language models (LLMs) into health care offers tremendous opportunities to improve medical practice and patient care. Beside...
There are currently no licensed vaccines for norovirus, a leading cause of epidemic and endemic gastroenteritis worldwide. Clinical advancement of pro...
Artificial intelligence and machine learning are rapidly transforming medicine, healthcare, and surgery. Machine learning is a valuable tool for surge...
BACKGROUND: Urinary tract infection (UTI) is a common bacterial infection in the pediatric population. Febrile urinary tract infection (fUTI) can lead...
BACKGROUND: Artificial intelligence (AI) can be used to estimate age from the electrocardiogram (AI-ECG age). The difference between AI-ECG age and ch...
Pregnancy-associated dermatologic conditions emerge from intricate hormonal, immunologic, genetic, and environmental changes, often complicating mater...
BACKGROUND: Pediatric chronic rhinosinusitis (CRS) is a common chronic inflammatory disease with a high recurrence rate after surgery. This study aime...
BACKGROUND: Neonatal intestinal diseases often have an insidious onset and can lead to poor outcomes if not identified early. Early assessment of abno...
In today's world, with an increasing patient population, the need for medications is increasing rapidly. However, the current practice of drug develop...
BACKGROUND: The increasing prevalence of mental health issues among adolescents and young adults, coupled with barriers to accessing traditional thera...
Generative artificial intelligence (AI) models are a new technological development with vast research use cases among medical subspecialties. These po...
Ethical dilemmas exist with decision-making regarding resource allocations, such as critical care, ventilators and other critical equipment, and pharm...
Congenital Heart Disease (CHD) remains a leading cause of infant morbidity and mortality, yet non-invasive screening methods often yield false negat...
BACKGROUND: Noise reduction tools developed with artificial intelligence (AI) may be implemented to improve image quality and reduce radiation dose, w...