Pediatrics

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

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Comparative analysis of GPT-4 and Google Gemini's consistency with pediatric otolaryngology guidelines.

OBJECTIVE: To evaluate the accuracy and completeness of large language models (LLMs) in interpreting...

Deep-learning-assisted medium optimization improves hyaluronic acid production by Streptococcus zooepidemicus.

To improve the efficiency of hyaluronic acid production by Streptococcus zooepidemicus, the growth m...

Generating Synthetic T2*-Weighted Gradient Echo Images of the Knee with an Open-source Deep Learning Model.

RATIONALE AND OBJECTIVES: Routine knee MRI protocols for 1.5 T and 3 T scanners, do not include T2*-...

Navigating autonomy, privacy, and ageism in robot home care with aged users: A preliminary analysis of ROB-IN.

In this article, I propose an ethical analysis of assistive domestic robots for older users. In doin...

Pediatric Electrocardiogram-Based Deep Learning to Predict Secundum Atrial Septal Defects.

Secundum atrial septal defect (ASD2) detection is often delayed, with the potential for late diagnos...

Development and validation of an integrated residual-recurrent neural network model for automated heart murmur detection in pediatric populations.

Congenital heart disease affects approximately 1% of children worldwide, with a number of cases in r...

Opportunities and challenges in lung cancer care in the era of large language models and vision language models.

Lung cancer remains the leading cause of cancer-related deaths globally. Over the past decade, the d...

A novel smart baby cradle system utilizing IoT sensors and machine learning for optimized parental care.

The IoT Smart Cradle for Baby Monitoring System & Infant Care is introduced as an innovative solutio...

AI for chronic pain in children: a powerful resource.

Given the lack of scientific evidence, chronic pain represents an arduous challenge, especially in t...

Three-dimensional automated segmentation of adolescent idiopathic scoliosis on computed tomography driven by deep learning: A retrospective study.

Accurate vertebrae segmentation is crucial for modern surgical technologies, and deep learning netwo...

Using supervised machine-learning approaches to understand abiotic stress tolerance and design resilient crops.

Abiotic stresses such as drought, heat, cold, salinity and flooding significantly impact plant growt...

Imaging biomarkers for detection and longitudinal monitoring of ventricular abnormalities from birth to childhood.

This narrative review examines the use of imaging biomarkers for diagnosing and monitoring hydroceph...

Machine learning models for predicting in-hospital mortality from acute pancreatitis in intensive care unit.

BACKGROUND: Acute pancreatitis (AP) represents a critical medical condition where timely and precise...

Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study.

BACKGROUND: Fetal growth restriction (FGR) is a common complication of preeclampsia. FGR in patients...

Detecting microcephaly and macrocephaly from ultrasound images using artificial intelligence.

BACKGROUND: Microcephaly and macrocephaly, which are abnormal congenital markers, are associated wit...

Using machine learning models based on cardiac magnetic resonance parameters to predict the prognostic in children with myocarditis.

OBJECTIVE: To develop machine learning (ML) models incorporating explanatory cardiac magnetic resona...

Prospective study using artificial neural networks for identification of high-risk COVID-19 patients.

The COVID-19 pandemic caused a major public health crisis, with severe impacts on global health and ...

Artificial Intelligence Technologies for Nursing Development: A Review of the Current Literature.

Recent years have seen rapid development of artificial intelligence (AI) technology revolutionizing ...

Edge-Dependent Step-Flow Growth Mechanism in β-GaO (100) Facet at the Atomic Level.

Homoepitaxial step-flow growth of high-quality β-GaO thin films is essential for the advancement of ...

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