Pediatrics

Artificial Intelligence for Personalized Preventive Adolescent Healthcare.

Recent advances in artificial intelligence (AI) are creating new opportunities for personalizing tec...

Risk assessment for intra-abdominal injury following blunt trauma in children: Derivation and validation of a machine learning model.

BACKGROUND: Computed tomography is the criterion standard for diagnosing intra-abdominal injury (IAI...

Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging.

BACKGROUND AND PURPOSE: Differentiating the types of pediatric posterior fossa tumors on routine ima...

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Blood infection due to different circumstances could immediately develop to an extreme body reaction...

Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.

Pneumonia is one of the leading causes of childhood mortality worldwide. Chest x-ray (CXR) can aid t...

Deep transfer learning for video-based detection of newborn presence in incubator.

Preterm newborns are prone to late-onset sepsis, leading to a high risk of mortality. Video-based an...

Automated Assessment System for Neonatal Endotracheal Intubation Using Dilated Convolutional Neural Network.

Neonatal endotracheal intubation (ETI) is an important, complex resuscitation skill, which requires ...

Potential Prognostic Markers in the Heart Rate Variability Features for Early Diagnosis of Sepsis in the Pediatric Intensive Care Unit using Convolutional Neural Network Classifiers.

Blood infection due to different circumstances could immediately develop to an extreme body reaction...

Identifying tracé alternant activity in neonatal EEG using an inter-burst detection approach.

Electroencephalography (EEG) is an important clinical tool for reviewing sleep-wake cycling in neona...

Design, Control, and Simulation of a Neonatal Incubator.

In this project, a fully functional incubator with precise control with respect to temperature, humi...

Evaluation of Different Learning Algorithms of Neural Networks for Drug Dosing Recommendations in Pediatrics.

Publicly accessible databases with evidence-based information on drug dosages for children and adole...

Commercial Adoption of AI in the Healthcare Sector: An Exploratory Analysis of S&P500 Companies.

The use of Artificial Intelligence (AI) technologies within the healthcare sector is growing. Howeve...

Investigating the Barriers to Physician Adoption of an Artificial Intelligence- Based Decision Support System in Emergency Care: An Interpretative Qualitative Study.

The development of artificial intelligence (AI) systems to support diagnostic decision-making is rap...

Integrating Socially Assistive Robots into Japanese Nursing Care.

This paper presents experiences of integrating assistive robots in Japanese nursing care through sem...

Rigid Cranial Fixation for Robot-Assisted Stereoelectroencephalography in Toddlers: Technical Considerations.

BACKGROUND: Stereoelectroencephalography (sEEG) using depth electrodes has become a mainstay of pedi...

Development of an Alarm Algorithm, With Nanotechnology Multimodal Sensor, to Predict Impending Infusion Failure and Improve Safety of Peripheral Intravenous Catheters in Neonates.

BACKGROUND: Peripheral intravenous catheters connected to an infusion pump are necessary for the del...

Augmented intelligence in pediatric anesthesia and pediatric critical care.

PURPOSE OF REVIEW: Acute care technologies, including novel monitoring devices, big data, increased ...

Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care.

Recent developments in pediatric retina.

PURPOSE OF REVIEW: Pediatric retina is an exciting, but also challenging field, where patient age an...

Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning-Based Analysis of Chest Radiographs.

IMPORTANCE: Chest radiography is a useful noninvasive modality to evaluate pulmonary blood flow stat...

[Artificial intelligence in pediatric surgery : Present and future].

BACKGROUND: Artificial intelligence, automatization and digital transformation increasingly dominate...