Pediatrics

Application of Genetic Algorithm and U-Net in Brain Tumor Segmentation and Classification: A Deep Learning Approach.

The development of unusual cells in the cerebrum causes brain cancer. It is classified primarily into two classes: a noncarcinogenic (benign) type of growth and cancerous (malignant) growth. Early detection of this disease is a quintessential task for all medical practice professionals. For traditional approaches of tumor detections, certain limitations exist. They include less effectiveness, inab...

How smart senior care can achieve value co-creation: Evidence from China.

With the rapid rise of artificial intelligence, smart senior care has become a new trend for future development. The collection of "Typical Cases of Chinese Elderly Service Industry Development" is selected by the script materials. The main purpose of this article is to investigate how smart senior care can achieve value co-creation by grounded theory. This study explores the phenomenon of value c...

The three horizons model applied to medical science.

The three horizons model is a framework that helps manage an organization's innovation strategy. This model considers three aspects (horizons) that sh...

[Pharmacological knowledge bases in Sweden: successes and future in a time of information overflow].

Skewed information about medicines in social media influence the healthcare-patient contact. Healthcare staff need situation adapted evidence that can...

Using deep learning and electronic health records to detect Noonan syndrome in pediatric patients.

PURPOSE: The variable expressivity and multisystem features of Noonan syndrome (NS) make it difficult for patients to obtain a timely diagnosis. Genet...

Performance comparison of three deep learning models for impacted mesiodens detection on periapical radiographs.

This study aimed to develop deep learning models that automatically detect impacted mesiodens on periapical radiographs of primary and mixed dentition...

Digital Transformation and Financial Risk Prediction of Listed Companies.

Digitalization is a revolution, a frontal battleground in the new global competitive landscape, and a long-distance race for which all employees must ...

Is primary health care ready for artificial intelligence? What do primary health care stakeholders say?

BACKGROUND: Effective deployment of AI tools in primary health care requires the engagement of practitioners in the development and testing of these t...

Application of GIS Technology-Supported Cross Media Fusion Method Based on Deep Learning in Landscape Performance Evaluation.

GIS technology can provide reasonable and sustainable data support for landscape planning and ecological development and make wetland landscape planni...

Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts.

BACKGROUND: Dementia is a global public health priority due to rapid growth of the aging population. As China has the world's largest population with ...

An Automated View Classification Model for Pediatric Echocardiography Using Artificial Intelligence.

BACKGROUND: View classification is a key step toward building a fully automated system for interpretation of echocardiograms. However, compared with a...

Empirical Analysis of Early Childhood Enlightenment Education Using Neural Network.

This exploration aims to study the value orientation and essence of early childhood enlightenment education based on the deep neural network (DNN). Ba...

Real-Time Prediction of Growth Characteristics for Individual Fruits Using Deep Learning.

Understanding the growth status of fruits can enable precise growth management and improve the product quality. Previous studies have rarely used deep...

Adolescent Depression Detection Model Based on Multimodal Data of Interview Audio and Text.

Depression is a common mental disease that has a tendency to develop at a younger age. Early detection of depression with psychological intervention m...

Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity.

Microorganisms growing in their habitat constitute a complex system. How the individual constituents of the environment contribute to microbial growth...

Balancing national economic policy outcomes for sustainable development.

The 2030 Sustainable Development Goals (SDGs) aim at jointly improving economic, social, and environmental outcomes for human prosperity and planetary...

A deep learning pipeline for the automated segmentation of posterior limb of internal capsule in preterm neonates.

Segmentation of specific brain tissue from MRI volumes is of great significance for brain disease diagnosis, progression assessment, and monitoring of...

The requirements for performing artificial-intelligence-related research and model development.

Artificial intelligence research in health care has undergone tremendous growth in the last several years thanks to the explosion of digital health ca...

Frameless robot-assisted stereotactic biopsy: an effective and minimally invasive technique for pediatric diffuse intrinsic pontine gliomas.

PURPOSE: Diffuse intrinsic pontine gliomas (DIPGs) are prone to high surgical risks, and they could even lead to death due to their specific sites. To...

Ensemble of deep capsule neural networks: an application to pediatric pneumonia prediction.

Pneumonia disease accounts for 15% of all deaths in children under the age of five and early detection of the disease significantly improves survival ...