Pediatrics

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

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Genome-wide identification and expression analysis of phytochrome gene family in Aikang58 wheat ( L.).

Phytochromes are essential photoreceptors in plants that sense red and far-red light, playing a vita...

Interpreting IGF-1 in children treated with recombinant growth hormone: challenges during early puberty.

OBJECTIVE: It can be challenging to determine the correct dosage of recombinant growth hormone (GH) ...

Psychological and Behavioral Insights From Social Media Users: Natural Language Processing-Based Quantitative Study on Mental Well-Being.

BACKGROUND: Depression significantly impacts an individual's thoughts, emotions, behaviors, and mood...

Developing a Machine Learning-Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study.

BACKGROUND: Patient engagement is a critical but challenging public health priority in behavioral he...

Artificial intelligence in drug development.

Drug development is a complex and time-consuming endeavor that traditionally relies on the experienc...

Cell clone selection-impact of operation modes and medium exchange strategies on clone ranking.

Bioprocessing has been transitioning from batch to continuous processes. As a result, a considerable...

Pilot Study on Using Large Language Models for Educational Resource Development in Japanese Radiological Technologist Exams.

In this study, we explored the potential application of large language models (LLMs) to the developm...

Predicting fall parameters from infant skull fractures using machine learning.

When infants are admitted to the hospital with skull fractures, providers must distinguish between c...

Claude, ChatGPT, Copilot, and Gemini performance versus students in different topics of neuroscience.

Despite extensive studies on large language models and their capability to respond to questions from...

Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation.

CNN is considered an efficient tool in brain image segmentation. However, neonatal brain images requ...

Method for assessing visual saliency in children with cerebral/cortical visual impairment using generative artificial intelligence.

Cerebral/cortical visual impairment (CVI) is a leading cause of pediatric visual impairment in the U...

The use of Artificial Intelligence Algorithms in drug development and clinical trials: A scoping review.

BACKGROUND: Artificial Intelligence (AI) is transforming drug development and clinical trials, helpi...

Applications of Machine Learning Approaches for the Discovery of SARS-CoV-2 PLpro Inhibitors.

The global impact of SARS-CoV-2 highlights the need for treatments beyond vaccination, given the lim...

A comparison of the persuasiveness of human and ChatGPT generated pro-vaccine messages for HPV.

INTRODUCTION: Public health messaging is crucial for promoting beneficial health outcomes, and the l...

A machine learning-based analysis for the effectiveness of online teaching and learning in Pakistan during COVID-19 lockdown.

BackgroundThe COVID-19 pandemic has significantly disrupted daily life and education, prompting inst...

Clinical validation of explainable AI for fetal growth scans through multi-level, cross-institutional prospective end-user evaluation.

We aimed to develop and evaluate Explainable Artificial Intelligence (XAI) for fetal ultrasound usin...

Precision fetal cardiology detects cyanotic congenital heart disease using maternal saliva metabolome and artificial intelligence.

Prenatal sonographic diagnosis of congenital heart disease (CHD) can lead to improved morbidity and ...

An Efficient Acute Lymphoblastic Leukemia Screen Framework Based on Multi-Modal Deep Neural Network.

BACKGROUND: Acute lymphoblastic leukemia (ALL) is a leading cause of death among pediatric malignanc...

The role of STEM teachers' emotional intelligence and psychological well-being in predicting their artificial intelligence literacy.

This study explores the role of emotional intelligence and psychological well-being in predicting ar...

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