Pediatrics

Deep learning-driven insights into the transmission dynamics of hepatitis B virus with treatment.

Viral infections have spread globally, profoundly affecting social and economic aspects of life and ...

Bridging the gap between models and reality: development of a research environment for an object-oriented hospital information system to integrate artificial intelligence and robotics into clinical practice.

INTRODUCTION: Hospital information systems (HISs) are the main access opportunity for medical profes...

Dose-Dependent Effects of Butachlor Accumulation and Degradation on Amino Acid Metabolism and Lignin Biosynthesis in Rice.

The excessive use of amide herbicides (AHs) poses a substantial environmental threat by disrupting t...

Integrating an AI platform into clinical IT: BPMN processes for clinical AI model development.

BACKGROUND: There has been a resurgence of Artificial Intelligence (AI) on a global scale in recent ...

Machine learning enhanced formation pressure prediction using integrated well logging and mud logging.

The difficulty of accurately predicting abnormally high-pressure formation pressure is one of the cr...

WeedSwin hierarchical vision transformer with SAM-2 for multi-stage weed detection and classification.

Weed detection and classification using computer vision and deep learning techniques have emerged as...

Listening deeper: neural networks unravel acoustic features in preterm infant crying.

Early infant crying provides critical insights into neurodevelopment, with atypical acoustic feature...

Harnessing artificial intelligence for sustainable urban development: advancing the three Zeros method through innovation and infrastructure.

Integrating artificial intelligence (AI) into sustainable urban development presents an innovative p...

Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection.

In general, deficient birth weight neonates suffer from hypoglycemia, and this can be quite disadvan...

Health consumers' use and perceptions of health information from generative artificial intelligence chatbots: A scoping review.

Background Health consumers can use generative artificial intelligence (GenAI) chatbots to seek heal...

Correction: A multimodal approach to depression diagnosis: insights from machine learning algorithm development in primary care.

Enhancing sarcasm detection in sentiment analysis for cyberspace safety using advanced deep learning techniques.

Social media has become an integral part of daily life, with platforms like Twitter serving as popul...

Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRI.

Automated segmentation of pediatric brain tumors (PBTs) can support precise diagnosis and treatment ...

Hybrid machine learning and physics-based model for estimating lettuce (Lactuca sativa) growth and resource consumption in aeroponic systems.

As the global population is expected to reach 10.3 billion by the mid-2080s, optimizing agricultural...

GAINSeq: glaucoma pre-symptomatic detection using machine learning models driven by next-generation sequencing data.

Congenital glaucoma, a complex and diverse condition, presents considerable difficulties in its iden...

Development and validation of a transformer model-based early warning score for real-time prediction of adverse outcomes in the emergency department.

This study aimed to develop and validate a transformer-based early warning score (TEWS) system for p...

How Well Do Simulated Population Samples with GPT-4 Align with Real Ones? The Case of the Eysenck Personality Questionnaire Revised-Abbreviated Personality Test.

Advances in artificial intelligence have enabled the simulation of human-like behaviors, raising th...

Artificial Intelligence in Palliative Care: A Scoping Review of Current Applications, Challenges, and Future Directions.

BackgroundArtificial Intelligence (AI) is increasingly integrated into healthcare systems, presentin...

Protocol for a randomized and a non-randomized controlled trial testing Daily Growth: a personalised 'ecological momentary intervention' parenting app for parents and carers of children aged 2-5 years.

BACKGROUND: Children's ability to regulate their emotions is a critical protective factor for early ...

Transforming heart transplantation care with multi-omics insights.

Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disea...

Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units.

INTRODUCTION: Artificial Intelligence (AI) comprises computational algorithms designed to analyze da...