Pediatrics

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

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Research on the impact of artificial intelligence development on urban low-carbon transformation.

Scientific analysis of the impact of artificial intelligence (AI) development on urban low-carbon tr...

Jul 2025 40594537
Generative AI for weakly supervised segmentation and downstream classification of brain tumors on MR images.

Segmenting abnormalities is a leading problem in medical imaging. Using machine learning for segment...

Jul 2025 40594922
Closed circuit artificial ıntelligence model named morgaf for childhood onset systemic lupus erythematosus diagnosis.

Systemic Lupus Erythematosus (SLE) is a chronic, autoimmune disease characterized by multiple organ ...

Jul 2025 40595005
Integrated artificial intelligence in healthcare and the patient's experience of care.

Healthcare is plagued with many problems that Artificial Intelligence (AI) can ameliorate or sometim...

Jul 2025 40595089
Decoding the diagnostic biomarkers of mitochondrial dysfunction related gene variants in pediatric T cell acute lymphoblastic leukemia.

Mitochondrial dysfunction is crucial in the pathogenesis and drug resistance of pediatric T-cell acu...

Jul 2025 40595352
Machine learning-assisted decoding of temporal transcriptional dynamics via fluorescent timer.

Investigating the temporal dynamics of gene expression is crucial for understanding gene regulation ...

Jul 2025 40595611
Machine learning to detect melanoma exploiting nuclei morphology and Spatial organization.

Cutaneous melanoma is one of the most lethal forms of skin cancer, and its incidence is increasing g...

Jul 2025 40595851
Activated cancer-associated fibroblasts correlate with poor survival and decreased lymphocyte infiltration in infiltrative type distal cholangiocarcinoma.

Cancer-associated fibroblasts promote tumor progression through growth facilitation, invasion, and i...

Jul 2025 40596163
Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission.

Scientists aim to create a system that can predict the likelihood of newborns being admitted to the ...

Jul 2025 40596456
Expert-augmented machine learning for predicting extubation readiness in the pediatric intensive care unit.

BACKGROUND: Determining extubation readiness in pediatric intensive care units (PICU) is challenging...

Jul 2025 40597185
Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units.

INTRODUCTION: Artificial Intelligence (AI) comprises computational algorithms designed to analyze da...

Jul 2025 40598327
Artificial Intelligence in Palliative Care: A Scoping Review of Current Applications, Challenges, and Future Directions.

BackgroundArtificial Intelligence (AI) is increasingly integrated into healthcare systems, presentin...

Jul 2025 40598879
Modernizing Risk Adjustment in Health Care: A Position Paper of the American College of Physicians.

Risk adjustment is a critical component of health care reimbursement aimed at ensuring fair compensa...

Jul 2025 40587865
How does social support influence autonomous physical learning in adolescents? Evidence from a chain mediation and latent profile analysis.

PURPOSE: This study examines how social support influences adolescents' autonomous physical learning...

Jul 2025 40591704
[Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].

The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibi...

Jun 2025 40586805
A Review of Medical Oxygen Concentrators for Respiratory Applications.

Medical oxygen concentrators are vital apparatuses that deliver supplemental oxygen to persons with ...

Jun 2025 40586489
Integrated multi-omics reveals the impact of ruminal keystone bacteria and microbial metabolites on average daily gain in Xuzhou cattle.

UNLABELLED: The rumen microbiome plays a crucial role in determining the metabolic and digestive eff...

Jun 2025 40586571
Machine learning for the prediction of spontaneous preterm birth using early second and third trimester maternal blood gene expression: A cautionary tale.

Spontaneous preterm birth (sPTB) remains a significant global health challenge and a leading cause o...

Jun 2025 40577367
Improving Clinical Utility of Fetal Cine CMR Using Deep Learning Super-Resolution.

BACKGROUND: Fetal cardiovascular magnetic resonance is an emerging tool for prenatal congenital hear...

Jun 2025 40567216
On the usage of artificial intelligence in leprosy care: A systematic literature review.

Leprosy, or Hansen's disease, is a Neglected Tropical Disease (NTD) caused by Mycobacterium leprae t...

Jun 2025 40570262
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