Pediatrics

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

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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...

The Use of Chest Radiographs and Machine Learning Model for the Rapid Detection of Pneumonitis in Pediatric.

Pneumonia is a common lung disease that is the leading cause of death worldwide. It primarily affect...

Sentiment Analysis of Animated Film Reviews Using Intelligent Machine Learning.

Film is an essential expression of a country's cultural soft power in terms of cross-cultural exchan...

Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.

Background Assessment of appropriate brain myelination on T1- and T2-weighted MRI scans is based on ...

Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network.

Morphological and diagnostic evaluation of pediatric musculoskeletal system is crucial in clinical p...

Co-design of digital learning resources for care workers: reflections on the neurocare knowhow project.

Neurocare Knowhow is an online learning platform for care workers who support people with neurologic...

Big Data Technology in the Macrodecision-Making Model of Regional Industrial Economic Information Applied Research.

In the era of Internet +, modern industry has developed rapidly, the network economy has promoted th...

Well Performance Classification and Prediction: Deep Learning and Machine Learning Long Term Regression Experiments on Oil, Gas, and Water Production.

In the oil and gas industries, predicting and classifying oil and gas production for hydrocarbon wel...

Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries.

The aim of this paper is to identify the barriers that are specifically relevant to the use of Artif...

Compact pediatric cardiac magnetic resonance imaging protocols.

Cardiac MRI is in many respects an ideal modality for pediatric cardiovascular imaging, enabling a c...

Pedicle Screw Placement in Adolescent Idiopathic Scoliosis: A Comparison between Robotics Coupled with Navigation versus the Freehand Technique.

(1) Background: Robotics coupled with navigation (RAN) is a modern surgical platform shown to increa...

Deep learning accurately classifies elbow joint effusion in adult and pediatric radiographs.

Joint effusion due to elbow fractures are common among adults and children. Radiography is the most ...

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