Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Deep Learning-Based Automated Echocardiographic Measurements in Pediatric and Congenital Heart Disease

Background: Echocardiography (echo) is a cornerstone of pediatric cardiology, yet access to expert i...

Generative Regression for Left Ventricular Ejection Fraction Estimation from Echocardiography Video

Estimating Left Ventricular Ejection Fraction (LVEF) from echocardiograms constitutes an ill-posed i...

Grow with the Flow: 4D Reconstruction of Growing Plants with Gaussian Flow Fields

Modeling the time-varying 3D appearance of plants during their growth poses unique challenges: unlik...

WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning

Retrieving wrist radiographs with analogous fracture patterns is challenging because clinically impo...

Estimating Gait Kinematics from Muscle Activity Using Deep Learning in Typically Developing Children

Instrumented gait assessment in pediatric populations is often constrained by the complexity and lac...

Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography

Fetal echocardiography is essential for detecting congenital heart disease (CHD), facilitating pregn...

Predictive Modeling of COVID-19 Variant Peak Prevalence and Duration Using GISAID Data Across 15 Countries

BackgroundRapid emergence and replacement of SARS-CoV-2 variants underscore the need for early and r...

Neonatal auditory input affects vocal development in harbour seals.

Vocal individuality has important biological functions in mammals: at crucial stages of development,...

Feb 2026 41641488
Opportunities and mechanisms for learning through social interactions: lessons from marmosets.

Social interactions are crucial for learning not only in humans but also in non-human animals. To da...

Feb 2026 41641497
Artificial Intelligence-Driven Adaptation of Pediatric Traumatic Brain Injury Case Descriptions for Family Communication.

OBJECTIVE: We examined whether GPT-4o, a widely used large language model (LLM), could produce age- ...

Feb 2026 41642229
Development and internal validation of risk scores to predict survival in the pediatric population following in-hospital cardiac arrest.

Introduction In-hospital cardiac arrest (IHCA) in the pediatric population is associated with poor s...

Serum Proteomic Profiling Implicates a Dysregulated Neurohormonal-Inflammatory Axis in Post-Fontan Tachycardia

Background: Post-operative tachycardia is a common and poorly understood complication following the ...

VAMOS-OCTA: Vessel-Aware Multi-Axis Orthogonal Supervision for Inpainting Motion-Corrupted OCT Angiography Volumes

Handheld Optical Coherence Tomography Angiography (OCTA) enables noninvasive retinal imaging in unco...

Brain neuromarkers predict self- and other-related mentalizing across adult, clinical, and developmental samples

Human social interactions rely on the ability to reflect on one's own and others' internal states an...

Machine Learning-Based Non-Invasive Diagnosis of Anemia in Children Using Palm Image Analysis

Abstract: Anemia, particularly iron-deficiency anemia, is a critical global health concern, with a h...

clinTALL: machine learning-driven multimodal subtypeclassification and treatment outcome prediction in pediatric T-ALL

Background: Childhood T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic ma...

Multi-omic deep learning identifies exercise-responsive ageing pathways in humans

Genome-wide association studies of physical activity traits have mapped numerous loci, yet the molec...

A Machine Learning Analysis of The Bead Maze Hand Function Test for Predicting Manual Dexterity in Children.

Comprehending how forces are applied to an object during manipulation can help provide important ins...

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