Pediatrics

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

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The application of artificial intelligence to support biliary atresia screening by ultrasound images: A study based on deep learning models.

PURPOSE: Early confirmation or ruling out biliary atresia (BA) is essential for infants with delayed...

Semi-supervised body parsing and pose estimation for enhancing infant general movement assessment.

General movement assessment (GMA) of infant movement videos (IMVs) is an effective method for early ...

Scientometric Analysis of Artificial Intelligence (AI) for Geohazard Research.

Geohazard prevention and mitigation are highly complex and remain challenges for researchers and pra...

Development of Deep Learning Technique of Features for the Analysis of Clinical Images Integrated with CANN.

Computer tomography is an extensively used method for the detection of the disease in the subjects. ...

Pivotal challenges in artificial intelligence and machine learning applications for neonatal care.

Clinical decision support systems (CDSS) that are developed based on artificial intelligence and mac...

A Crop Growth Prediction Model Using Energy Data Based on Machine Learning in Smart Farms.

In the recent past, the agricultural industry has rapidly digitalized in the form of smart farms thr...

Data driven identification of international cutting edge science and technologies using SpaCy.

Difficulties in collecting, processing, and identifying massive data have slowed research on cutting...

Delirium screening in an acute care setting with a machine learning classifier based on routinely collected nursing data: A model development study.

Delirium screening in acute care settings is a resource intensive process with frequent deviations f...

From promise to practice: towards the realisation of AI-informed mental health care.

In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-based p...

Estimating tree-based dynamic treatment regimes using observational data with restricted treatment sequences.

A dynamic treatment regime (DTR) is a sequence of decision rules that provide guidance on how to tre...

Artificial Intelligence and Big Data Science in Neurocritical Care.

In recent years, the volume of digitalized web-based information utilizing modern computer-based tec...

Advancing health care via artificial intelligence: From concept to clinic.

Ever Since, pharmaceutical companies are facing challenges to develop new drug products faster and e...

Technical Development of the CeCi Social Robot.

This research presents the technical considerations for implementing the CeCi (Computer Electronic C...

Influence of Voice Interactive Educational Robot Combined with Artificial Intelligence for the Development of Adolescents.

In the context of multicultural information, to explore and analyze the use effect of voice interact...

Multilayer dynamic ensemble model for intensive care unit mortality prediction of neonate patients.

Robust and rabid mortality prediction is crucial in intensive care units because it is considered on...

Artificial Intelligence Applications in Health Care Practice: Scoping Review.

BACKGROUND: Artificial intelligence (AI) is often heralded as a potential disruptor that will transf...

Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development.

Spike-timing-dependent plasticity (STDP) is one of the most popular and deeply biologically motivate...

Transfusion-associated hyperkalemia in pediatric population: Analyses for risk factors and recommendations.

BACKGROUND: Transfusion-associated hyperkalemia (TAH) is a potentially life-threatening complication...

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