Pediatrics

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 ...

RBench-V: A Primary Assessment for Visual Reasoning Models with Multi-modal Outputs

The rapid advancement of native multi-modal models and omni-models, exemplified by GPT-4o, Gemini,...

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 ...

Evaluating machine- and deep learning approaches for artifact detection in infant EEG: classifier performance, certainty, and training size effects.

Electroencephalography (EEG) is essential for studying infant brain activity but is highly susceptib...

Benchmarking Chest X-ray Diagnosis Models Across Multinational Datasets

Foundation models leveraging vision-language pretraining have shown promise in chest X-ray (CXR) i...

Diffusion Probabilistic Generative Models for Accelerated, in-NICU Permanent Magnet Neonatal MRI

Purpose: Magnetic Resonance Imaging (MRI) enables non-invasive assessment of brain abnormalities d...

Lawful but Awful: Evolving Legislative Responses to Address Online Misinformation, Disinformation, and Mal-Information in the Age of Generative AI

"Fake news" is an old problem. In recent years, however, increasing usage of social media as a sou...

New level of evidence grading system for Guidelines, artificial intelligence, and adult congenital heart disease.

Youth Perspectives on Generative AI and Its Use in Health Care.

A nationwide survey of youth aged 14 to 24 years on generative artificial intelligence (GAI) found t...

AppleGrowthVision: A large-scale stereo dataset for phenological analysis, fruit detection, and 3D reconstruction in apple orchards

Deep learning has transformed computer vision for precision agriculture, yet apple orchard monitor...

Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization

In this paper, we provide our milestone ensemble sort work and the first-hand practical experience...

Evaluating Prevalence of Preterm Postnatal Growth Faltering Using Fenton 2013 and INTERGROWTH-21st Growth Charts with Logistic and Machine Learning Models.

Postnatal growth faltering (PGF) significantly affects premature neonates, leading to compromised n...

HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity

Respiratory viral infections pose a global health burden, yet the cellular immune responses drivin...

Inferring stochastic dynamics with growth from cross-sectional data

Time-resolved single-cell omics data offers high-throughput, genome-wide measurements of cellular ...

Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates.

Therapeutic hypothermia (TH) significantly reduces mortality and morbidities in neonates with Neonat...

Artificial intelligence in pediatric dental trauma: do artificial intelligence chatbots address parental concerns effectively?

BACKGROUND: This study focused on two Artificial Intelligence chatbots, ChatGPT 3.5 and Google Gemin...

Assessing fetal lung maturity: Integration of ultrasound radiomics and deep learning.

This study built a model to forecast the maturity of lungs by blending radiomics and deep learning m...

Metabolomics and machine learning identify urine metabolic characteristics and potential biomarkers for severe Mycoplasma pneumoniae pneumonia.

To study the differences in the urine metabolome between pediatric patients with severe Mycoplasma p...

Computer-aided assessment for enlarged fetal heart with deep learning model.

Enlarged fetal heart conditions may indicate congenital heart diseases or other complications, makin...

SRT-H: A Hierarchical Framework for Autonomous Surgery via Language Conditioned Imitation Learning

Research on autonomous robotic surgery has largely focused on simple task automation in controlled...

Application of YOLOv8 in monocular downward multiple Car Target detection

Autonomous driving technology is progressively transforming traditional car driving methods, marki...