Pediatrics

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

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Revolutionizing Intensive Care Unit Care: A Scoping Review of Multimodal Family Engagement Technologies.

This scoping review systematically examines the emerging field of multimodal family engagement techn...

Workload of diagnostic radiologists in the foreseeable future based on recent (2024) scientific advances: Updated growth expectations.

PURPOSE: To assess the expected impact of the 2024 medical imaging literature on the workload of dia...

A vaccine chatbot intervention for parents to improve HPV vaccination uptake among middle school girls: a cluster randomized trial.

Conversational artificial intelligence, in the form of chatbots powered by large language models, of...

Synthetic Data in Healthcare and Drug Development: Definitions, Regulatory Frameworks, Issues.

With the recent and evolving regulatory frameworks regarding the usage of Artificial Intelligence (A...

Novel hybrid transfer neural network for wheat crop growth stages recognition using field images.

Wheat is one of the world's most widely cultivated cereal crops and is a primary food source for a s...

Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data.

Early diagnosis and access to resources, support and therapy are critical for improving long-term ou...

Chatbots for conducting systematic reviews in pediatric dentistry.

OBJECTIVES: The performance of chatbots for discrete steps of a systematic review (SR) on artificial...

Directed Evolution of Fluorescent Genetically Encoded Biosensors: Innovative Approaches for Development and Optimization of Biosensors.

Fluorescent protein-based biosensors are indispensable molecular tools in cell biology and biomedica...

Artificial intelligence-based non-invasive bilirubin prediction for neonatal jaundice using 1D convolutional neural network.

Neonatal jaundice, characterized by elevated bilirubin levels causing yellow discoloration of the sk...

Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model.

INTRODUCTION: This study investigates the potential of a deep learning-based Life Log Sharing Model ...

A machine learning model to predict intradialytic hypotension in pediatric continuous kidney replacement therapy.

BACKGROUND: Intradialytic hypotension (IDH) is associated with mortality in adults undergoing interm...

Human Phenotype Ontology Annotations for Rare Congenital Conditions: Application to Arthrogryposis Multiplex Congenita.

Arthrogryposis multiplex congenita (AMC) represents a large, rare group of congenital conditions. Th...

Prediction of IUGR condition at birth by means of CTG recordings and a ResNet model.

OBJECTIVE: Sub-optimal uterine-placental perfusion and fetal nutrition can lead to intrauterine grow...

Evaluation of correctness and reliability of GPT, Bard, and Bing chatbots' responses in basic life support scenarios.

Timely recognition and initiation of basic life support (BLS) before emergency medical services arri...

Forecasting motion trajectories of elbow and knee joints during infant crawling based on long-short-term memory (LSTM) networks.

BACKGROUND: Hands-and-knees crawling is a promising rehabilitation intervention for infants with mot...

Machine learning in point-of-care testing: innovations, challenges, and opportunities.

The landscape of diagnostic testing is undergoing a significant transformation, driven by the integr...

Interpretable machine learning model for early prediction of disseminated intravascular coagulation in critically ill children.

Disseminated intravascular coagulation (DIC) is a thrombo-hemorrhagic disorder that can be life-thre...

Hybrid deep learning model for density and growth rate estimation on weed image dataset.

Agriculture research is particularly essential since crop production is a challenge for farmers in I...

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