Pediatrics

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

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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 detecti...

Effect of Intelligent Medical Data Technology in Postoperative Nursing Care.

Surgery is one of the larger wounds in conventional surgery, and patients often experience different...

Metaheuristic Optimization-Driven Novel Deep Learning Approach for Brain Tumor Segmentation.

Brain tumor has the foremost distinguished etiology of high morality. Neoplasm, a categorization of ...

Feasibility Study of Constructing a Screening Tool for Adolescent Diabetes Detection Applying Machine Learning Methods.

Prediabetes and diabetes are becoming alarmingly prevalent among adolescents over the past decade. H...

Green Finance Evaluation Based on Neural Network Model.

The weights of green finance indicators are established in accordance with the AHP in order to sugge...

Clinical and bacteriological outcomes in patients with urinary tract infections presenting to primary care in Harare, Zimbabwe: a cohort study.

: Treatment for urinary tract infections (UTIs) is usually empiric and is based on local antimicrobi...

Analysis on COVID-19 Infection Spread Rate during Relief Schemes Using Graph Theory and Deep Learning.

The novel coronavirus 2019 (COVID-19) disease is a pandemic which affects thousands of people throug...

Application of Artificial Intelligence within Virtual Reality for Production of Digital Media Art.

As technology changes, virtual reality generates realistic images through computer graphics and prov...

Machine-learning media bias.

We present an automated method for measuring media bias. Inferring which newspaper published a given...

A Machine Learning-Based Intrauterine Growth Restriction (IUGR) Prediction Model for Newborns.

Intrauterine growth restriction (IUGR) is a condition in which the fetal weight is below the 10th pe...

Uncovering Brain Differences in Preschoolers and Young Adolescents with Autism Spectrum Disorder Using Deep Learning.

Identifying brain abnormalities in autism spectrum disorder (ASD) is critical for early diagnosis an...

Synthetic growth by self-lubricated photopolymerization and extrusion inspired by plants and fungi.

Many natural organisms, such as fungal hyphae and plant roots, grow at their tips, enabling the gene...

Gender and Age Stereotypes in Robotics for Eldercare: Ethical Implications of Stakeholder Perspectives from Technology Development, Industry, and Nursing.

Social categorizations regarding gender or age have proven to be relevant in human-robot interaction...

Research on the Development of Hospital Intelligent Finance Based on Artificial Intelligence.

Based on the development background of the interweaving and integration of computer technology and I...

Early prediction of noninvasive ventilation failure after extubation: development and validation of a machine-learning model.

BACKGROUND: Noninvasive ventilation (NIV) has been widely used in critically ill patients after extu...

A Case Study of Multiple Maintenance Efficacy in Gynaecological Surgery Assessed by Deep Learning.

Deep learning is a new learning concept and a highly effective way of learning, which is still being...

Study on the Innovative Development of Digital Media Art in the Context of Artificial Intelligence.

With the rapid development of modern science and technology, the speed of digital media to dissemina...

Optimization assisted framework for thyroid detection and classification: A new ensemble technique.

Ultrasound (US) is an inexpensive and non-invasive technique for capturing the image of the thyroid ...

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