Pediatrics

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

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Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network.

The uncontrollable growth of cells in the breast tissue causes breast cancer which is the second mos...

The Deep Learning-Based Recommender System "Pubmender" for Choosing a Biomedical Publication Venue: Development and Validation Study.

BACKGROUND: It is of great importance for researchers to publish research results in high-quality jo...

Machine Learning Prediction of Liver Stiffness Using Clinical and T2-Weighted MRI Radiomic Data.

The purpose of this study is to develop a machine learning model to categorically classify MR elast...

Deep residual network for off-resonance artifact correction with application to pediatric body MRA with 3D cones.

PURPOSE: To enable rapid imaging with a scan time-efficient 3D cones trajectory with a deep-learning...

Towards the automated economic assessment of newborn screening for rare diseases.

OBJECTIVE: Economic assessments of newborn screening programs for rare diseases involve the use of m...

Topological correction of infant white matter surfaces using anatomically constrained convolutional neural network.

Reconstruction of accurate cortical surfaces without topological errors (i.e., handles and holes) fr...

Ten Ways Artificial Intelligence Will Transform Primary Care.

Artificial intelligence (AI) is poised as a transformational force in healthcare. This paper present...

Artificial Intelligence based facial recognition for Mood Charting among men on life style modification and it's correlation with cortisol.

UNLABELLED: Today, clinicians and researchers believe that mood disorders in children and adolescent...

How do "robopets" impact the health and well-being of residents in care homes? A systematic review of qualitative and quantitative evidence.

BACKGROUND: Robopets are small animal-like robots which have the appearance and behavioural characte...

Development and Prospective Validation of a Machine Learning-Based Risk of Readmission Model in a Large Military Hospital.

BACKGROUND: Thirty-day hospital readmissions are a quality metric for health care systems. Predictiv...

Nurses' Views on the Potential Use of Robots in the Pediatric Unit.

PURPOSE: To describe nurses' views on the potential use of robots in the pediatric unit.

Deep learning to automate Brasfield chest radiographic scoring for cystic fibrosis.

BACKGROUND: The aim of this study was to evaluate the hypothesis that a deep convolutional neural ne...

Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.

BACKGROUND: An automated method for identifying the anatomical region of an image independent of met...

Effectiveness of ozonated saline in the treatment of VX2 tumors in rabbits.

To investigate the efficacy, safety, and associated mechanisms of injected ozonated saline in the t...

Analysis of Unstructured Text-Based Data Using Machine Learning Techniques: The Case of Pediatric Emergency Department Records in Nicaragua.

Free-text information is still widely used in emergency department (ED) records. Machine learning te...

Deep learning in ophthalmology: The technical and clinical considerations.

The advent of computer graphic processing units, improvement in mathematical models and availability...

Knowledge development, technology and questions of nursing ethics.

This article explores emerging ethical questions that result from knowledge development in a complex...

Deep Learning/Artificial Intelligence and Blood-Based DNA Epigenomic Prediction of Cerebral Palsy.

The etiology of cerebral palsy (CP) is complex and remains inadequately understood. Early detection ...

Formulation and Stability Study of Omeprazole Oral Liquid Suspension for Pediatric Patients.

To develop and to study the physicochemical and microbiological stability of omeprazole liquid oral...

Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms.

In this paper, we evaluated the power of microbiome measures taken at three time points over the gro...

Using Artificial Intelligence to Identify Factors Associated with Autism Spectrum Disorder in Adolescents with Cerebral Palsy.

Autism spectrum disorder (ASD) is common in adolescents with cerebral palsy (CP) and there is a lack...

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