Pediatrics

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

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Current update on the neurological manifestations of long COVID: more questions than answers.

Since the outbreak of the COVID-19 pandemic, there has been a global surge in patients presenting wi...

(2)
Nov 2024 39850323
AI-assisted patient education: Challenges and solutions in pediatric kidney transplantation.

We are writing in response to the recent publication on the use of artificial intelligence, particul...

Nov 2024 39615127
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction.

The Developing Human Connectome Project (dHCP) aims to explore developmental patterns of the human b...

(1)
Nov 2024 39631250
Extraction and evaluation of features of preterm patent ductus arteriosus in chest X-ray images using deep learning.

Echocardiography is the gold standard of diagnosis and evaluation of patent ductus arteriosus (PDA),...

(11)
Nov 2024 39592675
Predicting Epidural Hematoma Expansion in Traumatic Brain Injury: A Machine Learning Approach.

IntroductionTraumatic brain injury (TBI) is a leading cause of disability and mortality worldwide, w...

(1)
Nov 2024 39582207
An integrated approach to a predictive and ranking model of use error using fuzzy BWM and fuzzy TOPSIS.

Avoiding error in handling artifacts is crucial for achieving a high level of system reliability and...

Nov 2024 39579019
CDSNet: An automated method for assessing growth stages from various anatomical regions in lateral cephalograms based on deep learning.

BACKGROUND: The assessment of growth stages, typically determined by Cervical Vertebrae Maturation (...

(2)
Nov 2024 39578153
Computer-aided diagnosis of early-stage Retinopathy of Prematurity in neonatal fundus images using artificial intelligence.

Retinopathy of Prematurity (ROP) is a retinal disorder affecting preterm babies, which can lead to p...

Nov 2024 39536337
The Future of Surgical Diagnostics: Artificial Intelligence-Enhanced Detection of Ganglion Cells for Hirschsprung Disease.

Hirschsprung disease, a congenital disease characterized by the absence of ganglion cells, presents ...

(1)
Nov 2024 39577743
Prediction of Survival After Pediatric Cardiac Arrest Using Quantitative EEG and Machine Learning Techniques.

BACKGROUND AND OBJECTIVES: Early neuroprognostication in children with reduced consciousness after c...

(1)
Nov 2024 39566011
Using machine learning to identify pediatric ophthalmologists.

This cross-sectional study used data from the American Academy of Ophthalmology IRIS Registry (Intel...

(1)
Nov 2024 39566680
Using Artificial Intelligence to Identify Three Presenting Phenotypes of Chiari Type-1 Malformation and Syringomyelia.

BACKGROUND AND OBJECTIVES: Chiari type-1 malformation (CM1) and syringomyelia (SM) are common relate...

Nov 2024 39902903
Whole Slide Imaging, Artificial Intelligence, and Machine Learning in Pediatric and Perinatal Pathology: Current Status and Future Directions.

The integration of artificial intelligence (AI) into healthcare is becoming increasingly mainstream....

(1)
Nov 2024 39552500
Artificial intelligence: a primer for pediatric radiologists.

Artificial intelligence (AI) is increasingly recognized for its transformative potential in radiolog...

(2)
Nov 2024 39556194
Random Forest Prognostication of Survival and 6-Month Outcome in Pediatric Patients Following Decompressive Craniectomy for Traumatic Brain Injury.

BACKGROUND: There is a dearth of literature regarding prognostic and predictive factors for outcome ...

(1)
Nov 2024 39476933
AI for Analyzing Mental Health Disorders Among Social Media Users: Quarter-Century Narrative Review of Progress and Challenges.

BACKGROUND: Mental health disorders are currently the main contributor to poor quality of life and y...

Nov 2024 39546783
AFSleepNet: Attention-Based Multi-View Feature Fusion Framework for Pediatric Sleep Staging.

The widespread prevalence of sleep problems in children highlights the importance of timely and accu...

Nov 2024 39495693
Machine learning algorithms for prediction of measles one vaccination dropout among 12-23 months children in Ethiopia.

INTRODUCTION: Despite the availability of a safe and effective measles vaccine in Ethiopia, the coun...

Nov 2024 39542486
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