Pediatrics

Implementing a pediatric robotic surgery program: future perspectives.

INTRODUCTION: The minimally invasive approach using robotic technology is fully incorporated in the treatment of adult pathologies. The first international pediatric studies with a robotic approach date from 2002, and in Spain, from 2009. We present the implementation of a Pediatric Robotic Surgery program in our setting.

Understanding the risk factors for adverse events during exchange transfusion in neonatal hyperbilirubinemia using explainable artificial intelligence.

OBJECTIVE: To understand the risk factors associated with adverse events during exchange transfusion (ET) in severe neonatal hyperbilirubinemia.

Accelerated Synthetic MRI with Deep Learning-Based Reconstruction for Pediatric Neuroimaging.

BACKGROUND AND PURPOSE: Synthetic MR imaging is a time-efficient technique. However, its rather long scan time can be challenging for children. This s...

IFT-Net: Interactive Fusion Transformer Network for Quantitative Analysis of Pediatric Echocardiography.

The task of automatic segmentation and measurement of key anatomical structures in echocardiography is critical for subsequent extraction of clinical ...

Gravitational Wave-Signal Recognition Model Based on Fourier Transform and Convolutional Neural Network.

The recent detection of gravitational waves is a remarkable milestone in the history of astrophysics. With the further development of gravitational wa...

Assessment of an artificial intelligence aid for the detection of appendicular skeletal fractures in children and young adults by senior and junior radiologists.

BACKGROUND: As the number of conventional radiographic examinations in pediatric emergency departments increases, so, too, does the number of reading ...

Generalizability and Bias in a Deep Learning Pediatric Bone Age Prediction Model Using Hand Radiographs.

Background Although deep learning (DL) models have demonstrated expert-level ability for pediatric bone age prediction, they have shown poor generaliz...

Author Response to Commentary on "A cumulative sum (CUSUM) analysis studying operative times and complications for a surgeon transitioning from laparoscopic to robot-assisted pediatric pyeloplasty: Defining proficiency and competency.

Deep learning reconstruction in pediatric brain MRI: comparison of image quality with conventional T2-weighted MRI.

INTRODUCTION: Deep learning-based MRI reconstruction has recently been introduced to improve image quality. This study aimed to evaluate the performan...

A Study on the Application of BP Neural Network Based on Visual Recognition in Regional Economic Forecasting.

The economic growth in the new normal is no longer limited to the total amount and scale of economic growth in the traditional and neoclassical period...

Detection of Tip-Burn Stress on Lettuce Grown in an Indoor Environment Using Deep Learning Algorithms.

Lettuce grown in indoor farms under fully artificial light is susceptible to a physiological disorder known as tip-burn. A vital factor that controls ...

Auto-segmentation of important centers of growth in the pediatric skeleton to consider during radiation therapy based on deep learning.

BACKGROUND: Routinely delineating of important skeletal growth centers is imperative to mitigate radiation-induced growth abnormalities for pediatric ...

Identifying Trends and Quantifying Growth for Technological Innovation in Knee Arthroplasty: An Analysis of a Patent Database (1990 to 2020).

Technological innovation is the key for surgical progress in knee arthroplasty and improvement in patient outcomes. Exploring patented technologies ca...

Development of early prediction model for pregnancy-associated hypertension with graph-based semi-supervised learning.

Clinical guidelines recommend several risk factors to identify women in early pregnancy at high risk of developing pregnancy-associated hypertension. ...

Digital Media Teaching and Effectiveness Evaluation Integrating Big Data and Artificial Intelligence.

With the development of digital media technology, its application in teaching and learning is becoming more widespread. Digital media technology helps...

Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CT.

Background Adrenal masses are common, but radiology reporting and recommendations for management can be variable. Purpose To create a machine learning...

Robot-Assisted Versus Laparoscopic Approach for Splenectomy in Children: Systematic Review and Meta-Analysis.

To compare the outcomes of pediatric splenectomies for hematologic diseases performed by robot-assisted laparoscopic surgery (RALS) and laparoscopic ...

Cultural Heritage Resource Development and Industrial Transformation Resource Value Assessment Based on BP Neural Network.

Mining and utilizing cultural heritage resources and creating and developing creative and cultural industries have become the priority direction of ec...

A Comprehensive Assessment of Cultivation Environment of Top Innovative High-Level Talents Based on Deep Learning Algorithm.

The quality of talent has increased across all fields due to the constant growth of different industries and the growing job saturation. Real-time job...

Deep Ensemble Fake News Detection Model Using Sequential Deep Learning Technique.

Recently, fake news has been widely spread through the Internet due to the increased use of social media for communication. Fake news has become a sig...