Pediatrics

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

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Showing 2332-2352 of 6,765 articles
Automation of protein crystallization scaleup via Opentrons-2 liquid handling.

In this study we present an approach for optimizing protein crystallization trials at the multi-micr...

Mar 2025 40101838
Re-imagining human cell culture media: Challenges, innovations, and future directions.

The development of optimized culture media is pivotal to advancements in human cell culture, underpi...

(1)
Mar 2025 40101881
Deep learning algorithm classification of tympanostomy tube images from a heterogenous pediatric population.

IMPORTANCE: The ability to augment routine post-operative tube check appointments with at-home digit...

Mar 2025 40096786
Predicting infant brain connectivity with federated multi-trajectory GNNs using scarce data.

The understanding of the convoluted evolution of infant brain networks during the first postnatal ye...

Mar 2025 40107118
Three-dimensional markerless surface topography approach with convolutional neural networks for adolescent idiopathic scoliosis screening.

Adolescent idiopathic scoliosis (AIS) is a three-dimensional lateral and torsional deformity of the ...

(4)
Mar 2025 40082488
Do Treatment Choices by Artificial Intelligence Correspond to Reality? Retrospective Comparative Research with Necrotizing Enterocolitis as a Use Case.

BackgroundIn cases of surgical necrotizing enterocolitis (NEC), the choice between laparotomy (LAP) ...

Mar 2025 40071849
Application of the LDA model to identify topics in telemedicine conversations on the X social network.

The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obliga...

(1)
Mar 2025 40075347
Unraveling the power of NAP-CNB's machine learning-enhanced tumor neoantigen prediction.

In this study, we present a proof-of-concept classical vaccination experiment that validates the in ...

Mar 2025 40067759
Prediction of Hypertension in the Pediatric Population Using Machine Learning and Transfer Learning: A Multicentric Analysis of the SAYCARE Study.

OBJECTIVE: To develop a machine learning (ML) model utilizing transfer learning (TL) techniques to p...

Mar 2025 40145015
Integration of novel artificial intelligence tools in pediatric urologic practice.

PURPOSE OF REVIEW: There has been an explosion of creative uses of artificial intelligence (AI) in h...

(1)
Mar 2025 40066658
Position-context additive transformer-based model for classifying text data on social media.

In recent years, the continuous increase in the growth of text data on social media has been a major...

Mar 2025 40057560
The Application of Machine Learning Models to Predict Stillbirths.

: This study aims to evaluate the predictive value of comprehensive data obtained in obstetric clini...

(1)
Mar 2025 40142283
Development and Validation of an Electronic Health Record-Based, Pediatric Acute Respiratory Distress Syndrome Subphenotype Classifier Model.

OBJECTIVE: To determine if hyperinflammatory and hypoinflammatory pediatric acute respiratory distre...

(2)
Mar 2025 40047501
Proposing a machine learning-based model for predicting nonreassuring fetal heart.

The capacity to forecast nonreassuring fetal heart (NFH) is essential for minimizing perinatal compl...

Mar 2025 40050357
GDF15, EGF, and Neopterin in Assessing Progression of Pediatric Chronic Kidney Disease Using Artificial Intelligence Tools-A Pilot Study.

Cell-mediated immunity and chronic inflammation are hallmarks of chronic kidney disease (CKD). Growt...

Mar 2025 40076962
Machine Learning Accurately Predicts Patient-reported Outcomes 1 Year After Breast Reconstruction.

OBJECTIVE: To develop and evaluate machine learning algorithms for predicting patient-reported outco...

(1)
Mar 2025 40040622
Metabolic reprogramming and machine learning-guided cofactor engineering to boost nicotinamide mononucleotide production in Escherichia coli.

Nicotinamide mononucleotide (NMN) is a bioactive compound in NAD(P) metabolism, which exhibits diver...

Mar 2025 40054751
Predicting Cardiac Magnetic Resonance-Derived Ejection Fraction from Echocardiogram Via Deep Learning Approach in Tetralogy of Fallot.

Systolic function assessment is essential in children with congenital heart disease. Traditional met...

Mar 2025 40038120
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