Pediatrics

Natural language processing of pediatric progress notes for the identification of food allergy.

Development and international validation of custom-engineered and code-free deep-learning models for detection of plus disease in retinopathy of prematurity: a retrospective study.

BACKGROUND: Retinopathy of prematurity (ROP), a leading cause of childhood blindness, is diagnosed t...

Avascular midline oropharyngeal anatomy allows for expanded indications for transoral robotic surgery in pediatric patients.

Transoral robotic surgery (TORS) in children is in its infancy, and indications have been primarily ...

Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach.

The purpose of this study was to create a tool for predicting the growth of total mesophilic bacteri...

Predictors of Remission of Acromegaly following Surgical Treatment in Growth Hormone-Secreting Pituitary Adenoma.

 Surgery is the treatment of choice for growth hormone (GH)-secreting pituitary adenoma. The remiss...

Single-cell segmentation in bacterial biofilms with an optimized deep learning method enables tracking of cell lineages and measurements of growth rates.

Bacteria often grow into matrix-encased three-dimensional (3D) biofilm communities, which can be ima...

An investigation into epidemiological situations of COVID-19 with fuzzy K-means and K-prototype clustering methods.

The ten countries with the highest population during the pandemic were analyzed for clustering based...

Artificial Neural Networks for Short-Form Development of Psychometric Tests: A Study on Synthetic Populations Using Autoencoders.

Short-form development is an important topic in psychometric research, which requires researchers to...

Robot-assisted Laparoscopic Urethral Diverticulectomy in a Pediatric Patient.

Urethral diverticula are rare in children, especially in the absence of trauma. We present a case of...

Transumbilical single incision combined with robot-assisted surgery in pediatric congenital choledochal cyst excision: A case report.

Extracts of Jamun seeds inhibited the growth of human (Hep-2) cancer cells.

INTRODUCTION: In the last century, the human laryngeal epithelioma has become a life-threatening dis...

A framework for prediction of personalized pediatric nuclear medical dosimetry based on machine learning and Monte Carlo techniques.

A methodology is introduced for the development of an internal dosimetry prediction toolkit for nucl...

Comparison of End-to-End Neural Network Architectures and Data Augmentation Methods for Automatic Infant Motility Assessment Using Wearable Sensors.

Infant motility assessment using intelligent wearables is a promising new approach for assessment of...

Pediatric Deterioration Detection Using Machine Learning.

And then there was one … incision. First single-port pediatric robotic case series.

BACKGROUND: In the past two decades, technology has advanced to augment an already minimally-invasiv...

Acquisition time reduction in pediatric Tc-DMSA planar imaging using deep learning.

PURPOSE: Given the potential risk of motion artifacts, acquisition time reduction is desirable in pe...

Lexicon-based sentiment analysis to detect opinions and attitude towards COVID-19 vaccines on Twitter in Italy.

The paper proposes a methodology based on Natural Language Processing (NLP) and Sentiment Analysis (...

Engineering growth phenotypes of Aspergillus oryzae for L-malate production.

Improving the growth status of Aspergillus oryzae is an efficient way to enhance L-malate production...

A "Do No Harm" Novel Safety Checklist and Research Approach to Determine Whether to Launch an Artificial Intelligence-Based Medical Technology: Introducing the Biological-Psychological, Economic, and Social (BPES) Framework.

Given the impact artificial intelligence (AI)-based medical technologies (hardware devices, software...

Comparing machine learning methods for predicting land development intensity.

Land development intensity is a comprehensive indicator to measure the degree of saving and intensiv...

Surveying Public Perceptions of Artificial Intelligence in Health Care in the United States: Systematic Review.

BACKGROUND: This paper reviews nationally representative public opinion surveys on artificial intell...