Pediatrics

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

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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 b...

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 q...

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...

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 disorde...

Logistics Finance Collaborative Development Model Based on Machine Learning.

In the context of rapid social development, a logistics financial model that can meet the financing ...

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 rad...

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 pa...

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...

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 becomi...

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...

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-assi...

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 indust...

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 i...

Comparison of three machine learning models to predict suicidal ideation and depression among Chinese adolescents: A cross-sectional study.

BACKGROUND: Machine learning (ML) algorithms based on various clinicodemographic, psychometric, and ...

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 m...

How smart senior care can achieve value co-creation: Evidence from China.

With the rapid rise of artificial intelligence, smart senior care has become a new trend for future ...

Application of Genetic Algorithm and U-Net in Brain Tumor Segmentation and Classification: A Deep Learning Approach.

The development of unusual cells in the cerebrum causes brain cancer. It is classified primarily int...

The three horizons model applied to medical science.

The three horizons model is a framework that helps manage an organization's innovation strategy. Thi...

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