Latest AI and machine learning research in pediatrics for healthcare professionals.
Sickle cell disease (SCD) is one of the most prevalent hemoglobinopathies worldwide, particularly in...
Autism spectrum disorder (ASD) is associated with difficulties in emotion recognition and regulation...
The rapid growth of social media as an information channel has enabled the swift spread of inaccurat...
Fulminant myocarditis (FM) is a rare but life-threatening pediatric condition that rapidly progresse...
The management of cancer care generates vast amounts of data, collected in the clinical registry; ho...
The quantification of the Ki-67 labeling index (LI) is critical for assessing tumor proliferation an...
This study investigates the performance of various machine learning (ML) and deep learning (DL) mode...
This study proposes a deep learning vision-language model for the automated diagnosis of pediatric d...
Spontaneous preterm birth (sPTB) remains a significant global health challenge and a leading cause o...
The assessment of vestibular schwannoma (VS) requires a standardized measurement approach as growth ...
Infectious disease modelling (IDM) is increasingly being used to understand disease transmission and...
Early exposure to antibiotics and prolonged hospitalization in preterm infants may perturb microbiom...
Hospitals are increasingly adopting artificial intelligence (AI) tools in clinical care. However, th...
Negative public sentiment towards vaccination (PSV) poses significant challenges to the effectivenes...
Adolescent reproductive health information is increasingly sought on social-media platforms, yet the...
Retrospective analysis of sleep health among pediatric patients can enable important care and condit...
Artificial intelligence (AI) is rapidly transforming healthcare, but its benefits are not reaching a...
Diabetes represents an emerging global health crisis, with lower-middle-income countries experiencin...
Mpox, caused by mpox virus (MPXV), has gained global attention following the 2022 Clade IIb outbreak...
Fetal MRI is increasingly being employed in the diagnosis of fetal lung anomalies and segmentation-d...
Accurate multidimensional sleep health (MSH) information is often fragmented and inconsistently repr...