Latest AI and machine learning research in pediatrics for healthcare professionals.
Malnutrition, affecting both adults and children globally, results from inadequate nutrient intake o...
BACKGROUND: Neonatal low birth weight (LBW) is a significant predictor of increased morbidity and mo...
Congenital heart disease affects approximately 1% of children worldwide, with a number of cases in r...
Accurate modeling of subjective phenomena such as emotion expression requires data annotated with ...
Accurate vertebrae segmentation is crucial for modern surgical technologies, and deep learning netwo...
Given the lack of scientific evidence, chronic pain represents an arduous challenge, especially in t...
The IoT Smart Cradle for Baby Monitoring System & Infant Care is introduced as an innovative solutio...
Physical intelligence -- anticipating and shaping the world from partial, multisensory observation...
3D Gaussian Splatting (3DGS) marks a significant milestone in balancing the quality and efficiency...
Model immunization aims to pre-train models that are difficult to fine-tune on harmful tasks while...
Accurately localizing the brain regions that triggers seizures and predicting whether a patient wi...
We present the methodology and results of the Deep Retrieval team for subtask 4b of the CLEF Check...
A posteriori estimates give bounds on the error between the unknown solution of a partial differen...
General-purpose clinical natural language processing (NLP) tools are increasingly used for the aut...
Abiotic stresses such as drought, heat, cold, salinity and flooding significantly impact plant growt...
While (multimodal) large language models (LLMs) have attracted widespread attention due to their e...
This narrative review examines the use of imaging biomarkers for diagnosing and monitoring hydroceph...
BACKGROUND: Fetal growth restriction (FGR) is a common complication of preeclampsia. FGR in patients...
BACKGROUND: Adolescent idiopathic scoliosis (AIS) is a prevalent musculoskeletal condition affecting...
BACKGROUND: Microcephaly and macrocephaly, which are abnormal congenital markers, are associated wit...
OBJECTIVE: To develop machine learning (ML) models incorporating explanatory cardiac magnetic resona...