Pediatrics

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

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Showing 5061-5080 of 7,324 articles

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 Fontan procedure. Post-operative factors such as surgical scarring and venous hypertension can contribute to tachycardia risk, but the specific molecular signaling cascades triggering acute tachycardia remain uncharacterized, limiting therapeutic innovation and leaving clinicians with limited strate...

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 uncooperative or pediatric subjects, but is highly susceptible to motion artifacts that severely degrade volumetric image quality. Sudden motion during 3D acquisition can lead to unsampled retinal regions across entire B-scans (cross-sectional slices), resulting in blank bands in en face projections. We...

Feb 1 2026 2602.00995v1
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 and traits--a process known as mentalizing. Impaired...

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 high prevalence among children under six years of a...

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 malignancy with poor prognosis. Differently from B-c...

Machine Learning Identifies Distinct Treg-Mediated Remodeling in HFpEF Hearts Treated with Neonatal Mesenchymal Stem Cells and Their Secretome

Background: Heart failure with preserved ejection fraction (HFpEF) remains a major therapeutic challenge due to its complex pathophysiology and pronou...

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 molecular mechanisms through which exercise influences ...

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 insights into the quality of behavior in daily tasks....

Automated Echocardiographic Detection of Congenital Heart Disease Using Artificial Intelligence

Background: Delayed or missed diagnosis of congenital heart disease (CHD) contributes to excess pediatric mortality worldwide. Echocardiography (echo)...

IGF-like growth factors that couple food sensing to developmental decisions employ different release mechanisms in a single pair of C. elegans chemosensory neurons

Sensory neurons modulate organismal physiology and behavior in part by releasing neuropeptides and neurotrophins or growth factors, via the dense core...

Hybrid rule-based and on-premises LLM pipeline for extracting CMR and CPET metrics from free-text reports in repaired tetralogy of Fallot

Background Patients with repaired tetralogy of Fallot (rTOF) require lifelong surveillance with cardiovascular magnetic resonance (CMR) and cardiopulm...

AlphaGenome -enabled analysis of non-coding regulatory variants underlying RHD Expression

Systematic identification of functional non-coding regulatory variants remains a major challenge in human genetics. Conventional approaches such as la...

Explainable Machine Learning for Pediatric Dental Risk Stratification Using Socio-Demographic Determinants

Background: Pediatric dental disease remains one of the most prevalent and inequitable chronic health conditions worldwide. Although strong epidemiolo...

Jan 18 2026 2601.12405v1
Deep learning-based neurodevelopmental assessment in preterm infants

Preterm infants (born between 28 and 37 weeks of gestation) face elevated risks of neurodevelopmental delays, making early identification crucial for ...

Jan 17 2026 2601.11944v1
Aligning Artificial Intelligence Prediction Targets with Clinical Workflows Using Human Centered Design Methods

Artificial intelligence models in healthcare often fail to improve patient outcomes despite strong predictive performance because they are frequently ...

Representation-Aware Unlearning via Activation Signatures: From Suppression to Knowledge-Signature Erasure

Selective knowledge erasure from LLMs is critical for GDPR compliance and model safety, yet current unlearning methods conflate behavioral suppression...

Jan 15 2026 2601.10566v1
Physics-Informed Neural Network Methods for Predicting Plant Height Development

Plant growth is a dynamic process affected by genes and growing environment, with all kinds of interactions between them. These complex relationships ...

Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images

Background: Pneumonia remains a leading cause of morbidity and mortality among children worldwide, emphasizing the need for accurate and efficient dia...

Jan 14 2026 2601.09814v1
Detection of S1 spike protein in CD16+ monocytes up to 245 days in SARS-CoV-2-negative post-COVID-19 vaccine syndrome (PCVS) individuals.

Despite over 13 billion SARS-CoV-2 vaccine doses administered globally, persistent post-vaccination symptoms, termed post-COVID-19 vaccine syndrome (P...

Dec 1 2025 40358138
Mapping the landscape of AI and ML in vaccine innovation: A bibliometric study.

With the rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies, their applications in the medical field have expand...

Dec 1 2025 40376848
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