Pediatrics

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

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Camera fusion for real-time temperature monitoring of neonates using deep learning.

The continuous monitoring of vital signs is a crucial aspect of medical care in neonatal intensive c...

A deep learning approach identifies new ECG features in congenital long QT syndrome.

BACKGROUND: Congenital long QT syndrome (LQTS) is a rare heart disease caused by various underlying ...

Visualization and Analysis Model of Industrial Economy Status and Development Based on Knowledge Graph and Deep Neural Network.

This paper adopts knowledge mapping combined with a deep neural network algorithm to conduct in-dept...

Artificial intelligence in medicine: Overcoming or recapitulating structural challenges to improving patient care?

There is considerable enthusiasm about the prospect that artificial intelligence (AI) will help to i...

Attention-modulated multi-branch convolutional neural networks for neonatal brain tissue segmentation.

Accurate measurement of brain structures is essential for the evaluation of neonatal brain growth an...

Pediatric chest radiograph interpretation: how far has artificial intelligence come? A systematic literature review.

Most artificial intelligence (AI) studies have focused primarily on adult imaging, with less attenti...

Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models.

BACKGROUND: Asthma exacerbations are triggered by a variety of clinical and environmental factors, b...

How does artificial intelligence affect green economic growth?-Evidence from China.

As the driving force behind the new wave of technological advancement, artificial intelligence (AI) ...

Automated Machine Learning Pipeline Framework for Classification of Pediatric Functional Nausea Using High-Resolution Electrogastrogram.

OBJECTIVE: Pediatric functional nausea is challenging for patients to manage and for clinicians to t...

Application and potential of artificial intelligence in neonatal medicine.

Neonatal care is becoming increasingly complex with large amounts of rich, routinely recorded physio...

Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning.

Autonomous systems are becoming ubiquitous and gaining momentum within the marine sector. Since the ...

MBP-11901 Inhibits Tumor Growth of Hepatocellular Carcinoma through Multitargeted Inhibition of Receptor Tyrosine Kinases.

Hepatocellular carcinomas (HCCs) are aggressive tumors with a poor prognosis. Approved first-line tr...

A Heterogeneous Ensemble Learning Method For Neuroblastoma Survival Prediction.

Neuroblastoma is a pediatric cancer with high morbidity and mortality. Accurate survival prediction ...

Multimodal molecular imaging in drug discovery and development.

In addition to individual imaging techniques, the combination and integration of several imaging tec...

Effects of nitrogen and phosphorus addition on growth and leaf nitrogen metabolism of alfalfa in alkaline soil in Yinchuan Plain of Hetao Basin.

Alkaline soil is widely distributed in China. Its rational utilization is an effective measure to so...

Sentimental Analysis of Twitter Users from Turkish Content with Natural Language Processing.

Artificial Intelligence has guided technological progress in recent years; it has shown significant ...

Advancing an agile regulatory ecosystem to respond to the rapid development of innovative technologies.

Technological advancements are dramatically changing the landscape of therapeutic development. The c...

A cost-aware framework for the development of AI models for healthcare applications.

Accurate artificial intelligence (AI) for disease diagnosis could lower healthcare workloads. Howeve...

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