Pediatrics

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

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Is the diagnostic model based on convolutional neural network superior to pediatric radiologists in the ultrasonic diagnosis of biliary atresia?

BACKGROUND: Many screening and diagnostic methods are currently available for biliary atresia (BA), ...

Framework for pediatric robotic surgery program development.

Pediatric robotic surgery has seen increasing implementation for its many benefits over the past two...

A multimodal magnetoelastic artificial skin for underwater haptic sensing.

Future exploitation of marine resources in a sustainable and eco-friendly way requires autonomous un...

Changes in left ventricular systolic function after transcatheter patent ductus arteriosus closure in premature infants.

BACKGROUND: Changes in left ventricular (LV) systolic function have not been well described in prema...

Digital patient twins for personalized therapeutics and pharmaceutical manufacturing.

Digital twins are virtual models of physical artefacts that may or may not be synchronously connecte...

How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining.

To assess the overall experience of a patient in a hospital, many factors must be analyzed; nonethel...

Challenges of artificial intelligence in medicine and dermatology.

Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bia...

How does artificial intelligence affect the transformation of China's green economic growth? An analysis from internal-structure perspective.

Artificial intelligence (AI) has been proved to be an important engine of green economic development...

Navigating the AI frontiers in cardiovascular research: a bibliometric exploration and topic modeling.

Artificial intelligence (AI) has emerged as a promising field in cardiovascular disease (CVD) resear...

Multi temporal multispectral UAV remote sensing allows for yield assessment across European wheat varieties already before flowering.

High throughput field phenotyping techniques employing multispectral cameras allow extracting a vari...

Combining spectral and texture feature of UAV image with plant height to improve LAI estimation of winter wheat at jointing stage.

INTRODUCTION: Leaf area index (LAI) is a critical physiological and biochemical parameter that profo...

A publicly available newborn ear shape dataset for medical diagnosis of auricular deformities.

Early and accurate diagnosis of ear deformities in newborns is crucial for an effective non-surgical...

Shaping the development and use of Artificial Intelligence: how human factors and ergonomics expertise can become more pertinent.

New developments in Artificial Intelligence (AI) are extensively discussed in public media and schol...

Application of Machine Learning Techniques to Development of Emergency Medical Rapid Triage Prediction Models in Acute Care.

Given the critical and complex features of medical emergencies, it is essential to develop models th...

Psychotherapy, artificial intelligence and adolescents: ethical aspects.

Artificial intelligence (AI) has rapidly advanced in various domains, including its application in p...

Fractalkine modulates pulmonary angiogenesis and tube formation by modulating CX3CR1 and growth factors in PVECs.

This study aimed to investigate effects of pulmonary fractalkine (FKN/CX3CL1) on angiogenesis and tu...

Machine learning models for prediction of Escherichia coli O157:H7 growth in raw ground beef at different storage temperatures.

Shiga toxin-producing Escherichia coli (STEC) can be life-threatening and lead to major outbreaks. T...

Predicting transfers to intensive care in children using CEWT and other early warning systems.

BACKGROUND AND OBJECTIVE: The Children's Early Warning Tool (CEWT), developed in Australia, is widel...

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