Pediatrics

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

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Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China.

Machine learning combined with satellite image time series can quickly, and reliably be implemented ...

Single-port robot-assisted laparoscopic pyeloplasty in an infant: A video case report with 9 months follow up.

INTRODUCTION: Single-port robot-assisted laparoscopic surgery is a breakthrough in the field of mini...

Wetland Ecotourism Development Using Deep Learning and Grey Clustering Algorithm from the Perspective of Sustainable Development.

The purpose is to promote the sustainable development of wetland ecotourism in China and plan the pa...

Consumption Structure Optimization Strategy for Scenic Spots Using the Deep Learning Model under Digital Economy.

The purpose is to find out the problems existing in the consumption economy structure of the scenic ...

A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level.

We demonstrate that a neural network pretrained on text and fine-tuned on code solves mathematics co...

Using Explainable Artificial Intelligence to Discover Interactions in an Ecological Model for Obesity.

Ecological theories suggest that environmental, social, and individual factors interact to cause obe...

Prediction of fluid intelligence from T1-w MRI images: A precise two-step deep learning framework.

The Adolescent Brain Cognitive Development (ABCD) Neurocognitive Prediction Challenge (ABCD-NP-Chall...

Assessing key factors for sporting industry sustainable development through multilayer artificial perceptron neural network approach.

Sustainable development (SD) has recently emerged as a critical axis in industrial strategic managem...

Controlled Growth of Wafer-Scale Transition Metal Dichalcogenides with a Vertical Composition Gradient for Artificial Synapses with High Linearity.

Artificial synapses are promising for dealing with large amounts of data computing. Great progress h...

Health Information Prediction System of Infant Sports Based on Deep Learning Network.

The sensed data from infant sports and training programs are useful in analyzing their health condit...

Artificial intelligence-based clinical decision support in pediatrics.

Machine learning models may be integrated into clinical decision support (CDS) systems to identify c...

Using machine learning to impact on long-term clinical care: principles, challenges, and practicalities.

The rise of machine learning in healthcare has significant implications for paediatrics. Long-term c...

A deep learning framework for epileptic seizure detection based on neonatal EEG signals.

Electroencephalogram (EEG) is one of the main diagnostic tests for epilepsy. The detection of epilep...

Language-agnostic deep learning framework for automatic monitoring of population-level mental health from social networks.

In many countries, mental health issues are among the most serious public health concerns. National ...

Estimation of Greenhouse Lettuce Growth Indices Based on a Two-Stage CNN Using RGB-D Images.

Growth indices can quantify crop productivity and establish optimal environmental, nutritional, and ...

A Deep Learning-based Method to Extract Lumen and Media-Adventitia in Intravascular Ultrasound Images.

Intravascular ultrasound (IVUS) imaging allows direct visualization of the coronary vessel wall and ...

ALNett: A cluster layer deep convolutional neural network for acute lymphoblastic leukemia classification.

Acute Lymphoblastic Leukemia (ALL) is cancer in which bone marrow overproduces undeveloped lymphocyt...

Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury.

The study aims to measure the effectiveness of an AI-based traumatic intracranial hemorrhage predict...

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