Pediatrics

Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection.

Accurate segmentation of fetal heart in echocardiography images is essential for detecting the struc...

Comparative Study on the Efficacy of MF 59, ISA70 VG, and Nano-Aluminum Hydroxide Adjuvants, Alone and with Nano-Selenium on Humoral Immunity Induced by a Bivalent Newcastle+Avian Influenza Vaccine in Chickens.

Newcastle disease (ND) and Avian influenza (AI) are the major problems and the most economically imp...

CT Image Feature Diagnosis on the Basis of Deep Learning Algorithm for Preoperative Patients and Complications of Transcatheter Aortic Valve Implantation.

This work was aimed to explore the role of CT angiography information provided by deep learning algo...

Towards human-level performance on automatic pose estimation of infant spontaneous movements.

Assessment of spontaneous movements can predict the long-term developmental disorders in high-risk i...

The Effects of Over-Ground Robot-Assisted Gait Training for Children with Ataxic Cerebral Palsy: A Case Report.

Poor balance and ataxic gait are major impediments to independent living in ataxic cerebral palsy (C...

The Construction and Development of App Application Platform for Public Information Products of Urban Grand Media in the Context of Artificial Intelligence.

This paper conducts in-depth research and analysis on the construction of the public information pro...

Artificial Intelligence Assists the Construction of Quantitative Model for the High-Quality Development of Modern Enterprises.

Artificial intelligence companies are different from traditional labor-intensive and capital-intensi...

A ferret brain slice model of oxygen-glucose deprivation captures regional responses to perinatal injury and treatment associated with specific microglial phenotypes.

Organotypic brain slice models are an ideal technological platform to investigate therapeutic option...

Assessing the utility of low resolution brain imaging: treatment of infant hydrocephalus.

As low-field MRI technology is being disseminated into clinical settings around the world, it is imp...

Automatic quadriceps and patellae segmentation of MRI with cascaded U -Net and SASSNet deep learning model.

PURPOSE: Automatic muscle segmentation is critical for advancing our understanding of human physiolo...

Toward personalized medicine for pharmacological interventions in neonates using vital signs.

Vital signs, such as heart rate and oxygen saturation, are continuously monitored for infants in neo...

Application of Digital Image Based on Machine Learning in Media Art Design.

In digital media art, expressive force is an important art form of media. This paper studies digital...

Opportunities and Barriers to Rural Telerobotic Surgical Health Care in 2021: Report and Research Agenda from a Stakeholder Workshop.

There are well-recognized challenges to delivering specialty health care in rural settings. These c...

Conversions in pediatric robot-assisted laparoscopic surgery.

BACKGROUND: New technology attracts necessary concerns regarding safety and effectiveness, including...

Hydration Status and Fluid Replacement Strategies of High-Performance Adolescent Athletes: An Application of Machine Learning to Distinguish Hydration Characteristics.

There are limited data on the fluid balance characteristics and fluid replenishment behaviors of hig...

Design and Simulation Analysis of a Robot-Assisted Gait Trainer with the PBWS System.

In response to the ever-increasing demand of lower limb rehabilitation, this paper presents a novel ...

Factors That Influence Risk Perceptions and Successful COVID-19 Vaccination Communication Campaigns With American Indians.

COVID-19 vaccinations are the primary tool to end the pandemic. However, vaccine hesitancy continues...

Aren't Pediatric Patients Just Little Adults? Artificial Intelligence Ultrasound Algorithms Beg to Differ.

Robust seed germination prediction using deep learning and RGB image data.

Achieving seed germination quality standards poses a real challenge to seed companies as they are co...

Explainable machine learning model for predicting the occurrence of postoperative malnutrition in children with congenital heart disease.

BACKGROUND & AIMS: Malnutrition is persistent in 50%-75% of children with congenital heart disease (...

Robotic, totally endoscopic atrial septal defect repair.

Atrial septal defect accounts for 10-15% of congenital heart disease cases. Small-diameter atrial se...