Pediatrics

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

6,426 articles
Stay Ahead - Weekly Pediatrics research updates
Subscribe
Browse Categories
Showing 946-966 of 6,426 articles
A neural network to create super-resolution MR from multiple 2D brain scans of pediatric patients.

BACKGROUND: High-resolution (HR) 3D MR images provide detailed soft-tissue information that is usefu...

Evolving perspectives: Exploring the role of artificial intelligence between clinical practice and health pastoral care.

This article analyses the integration of artificial intelligence (AI) in health pastoral care, empha...

Machine learning-enhanced assessment of potential probiotics from healthy calves for the treatment of neonatal calf diarrhea.

Neonatal calf diarrhea (NCD) remains a significant contributor to calf mortality within the first 3 ...

ChatGPT-4o's performance on pediatric Vesicoureteral reflux.

INTRODUCTION: Vesicoureteral reflux (VUR) is a common congenital or acquired urinary disorder in chi...

A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resistant Klebsiella in intensive care units.

This study was conducted at Kocaeli University Hospital in Turkey and aimed to predict carbapenem-re...

Understanding the role of hormones in pediatric growth: Insights from a double-debiased machine learning approach.

This study investigates the causal relationships between hormone levels and growth and development o...

Development of multistage crop yield estimation model using machine learning and deep learning techniques.

In this research paper, machine learning techniques were applied to a multivariate meteorological ti...

Identifying Infant Body Position from Inertial Sensors with Machine Learning: Which Parameters Matter?

The efficient classification of body position is crucial for monitoring infants' motor development. ...

Artificial intelligence applied to the study of human milk and breastfeeding: a scoping review.

BACKGROUND: Breastfeeding rates remain below the globally recommended levels, a situation associated...

Applications of artificial intelligence in regenerative dentistry: promoting stem cell therapy and the scaffold development.

Tissue repair represents a critical concern within the domain of dentistry. On a daily basis, countl...

Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth.

BACKGROUND: Epidermal growth factor receptor (EGFR) T790M mutation often occurs during long duration...

Multi-Task Learning for Audio-Based Infant Cry Detection and Reasoning.

Infant cry is a crucial indicator that offers valuable insights into their physical and mental condi...

Predicting mental health treatment outcomes using latent growth mixture models and machine learning in a real-world clinical setting.

Previous models of depression outcomes have been limited by symptom heterogeneity within populations...

Deep learning based super-resolution for CBCT dose reduction in radiotherapy.

BACKGROUND: Cone-beam computed tomography (CBCT) is a crucial daily imaging modality in image-guided...

Digitalization of health care in low- and middle-income countries.

The rising incidence of noncommunicable diseases, combined with the costs of mitigating climate chan...

Predictive analysis of COVID-19 occurrence and vaccination impacts across the 50 US states.

OBJECTIVE: This study aimed to outline a machine learning model to assess the effectiveness of vacci...

Employing machine learning models to predict pregnancy termination among adolescent and young women aged 15-24 years in East Africa.

Pregnancy termination is still a sensitive and continuing public health issue due to several politic...

Development and validation of electronic health record-based, machine learning algorithms to predict quality of life among family practice patients.

Health-related quality of life (HRQol) is a crucial dimension of care outcomes. Many HRQoL measures ...

Artificial intelligence and pediatric surgery: where are we?

Here, we explore the transformative effects of artificial intelligence (AI) and large language model...

Browse Categories