Latest AI and machine learning research in pediatrics for healthcare professionals.
BACKGROUND: Postnatal care (PNC) remains the least utilized component of the maternal care continuum despite its critical role in preventing maternal and neonatal deaths. Conventional survival models estimate associations and identify determinants of time to postnatal care, whereas machine-learning survival models aim to improve prediction by capturing complex nonlinear relationships in the data. ...
BACKGROUND: Bone fractures are common in acute care, and point-of-care ultrasound (POCUS) is an emerging diagnostic tool that can be complementary to or even in some cases an alternative to X-ray imaging. With the rise of artificial intelligence (AI) model incorporation in diagnostic interpretations, this systematic review and meta-analysis aimed to evaluate the diagnostic performance of deep lear...
Central line-associated bloodstream infection (CLABSI) is a frequent and severe complication in children undergoing treatment for acute leukemia, subs...
BACKGROUND: Parkinson disease (PD) is a progressive neurodegenerative disorder that poses complex challenges for persons with PD, informal caregivers,...
BACKGROUND: Substance use disorder (SUD) remains a major public health crisis in the United States, with significant challenges in treatment access, r...
BACKGROUND: The internet, social media, and digital health tools have transformed access and receipt of medicines information (MI), complementing or r...
This study evaluates the cross-domain generalisability of three iCatcher+ gaze classification models on a dataset of Korean infants. Applying the pret...
The phenomenon of neonatal mortality is a significant issue in health care, which necessitates the use of advanced analytical tools for early risk pre...
BACKGROUND AND OBJECTIVE: Accurate prediction of pulmonary nodule growth is critical for early malignancy assessment and timely lung cancer diagnosis....
BACKGROUND: Generative artificial intelligence (AI) is increasingly used in health communication and nursing education; however, its clinical reliabil...
Artificial intelligence (AI) is transforming medicine by changing how clinicians learn, reason, communicate, and care for patients. Clinician expertis...
BACKGROUND: Urological care in Germany is undergoing transformation, while novel technologies with artificial intelligence (AI) have the potential to ...
Acute otitis media (AOM) is a leading cause of pediatric Emergency Department visits, particularly among children under five years of age. Although it...
BACKGROUND: Pediatric emergency departments see a high volume of patients. Given that children often cannot describe their condition and there is a sh...
School attendance is a fundamental prerequisite for children's and adolescents' academic, social, and personal development. Yet, despite decades of re...
Major depressive disorder (MDD) is highly prevalent among adolescents, but its neurobiological mechanisms remain unclear. Neuroimaging studies have sh...
Cystinosis is a rare lysosomal storage disorder that affects approximately 1 in 100,000 to 200,000 live births worldwide. Long-term graft success in c...
BACKGROUND: In neuro-oncology, detecting, segmenting, and delineating the boundaries of small-volume brain metastatic foci remains a significant chall...
BACKGROUND: Artificial intelligence (AI) has emerged as a promising tool to support smoking cessation in primary care, particularly for populations un...
Social networks are experiencing an unprecedented surge in demand for text mining applications. Text analysis, particularly on online platforms, has b...