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 through interval screening by paediatric ophthalmologists. However, improved survival of premature neonates coupled with a scarcity of available experts has raised concerns about the sustainability of this approach. We aimed to develop bespoke and code-free deep learning-based classifiers for plus di...

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 limited to lingual tonsillar hypertrophy and super...

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 imaged at cellular resolution using confocal microsco...

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 on the quantitative numbers of COVID-19 and polic...

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 a 9-year-old girl with pain with micturition, inc...

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

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 nuclear medical pediatric applications. The proposed s...

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 infant neurophysiological development, and where ...

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-invasive approach in laparoscopic surgery. Robotic-assist...

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 pediatric Tc-dimercaptosuccinic acid (DMSA) scintig...

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 (SA) to get insights into sentiments and opinions t...

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 programs, and mobile apps) can have on society, d...

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. However, the growth mechanism of filamentous fun...

Comparing machine learning methods for predicting land development intensity.

Land development intensity is a comprehensive indicator to measure the degree of saving and intensive land construction and economic production activi...

Myopia prediction for children and adolescents via time-aware deep learning.

This is a retrospective analysis. Quantitative prediction of the children's and adolescents' spherical equivalent based on their variable-length histo...

Robot-assisted Laparoscopic Pyeloplasty: Experience of a Single Pediatric Institution, Including Long-term and Safety Outcomes.

OBJECTIVE: To evaluate the efficacy and safety of robot-assisted laparoscopic pyeloplasty (RALP) and describe the short and long-term outcomes of pedi...

Detection of spermatogonial stem/progenitor cells in prepubertal mouse testis with deep learning.

PURPOSE: Rapid and easy detection of spermatogonial stem/progenitor cells (SSPCs) is crucial for clinicians dealing with male infertility caused by pr...

Deep learning of image-derived measures of body composition in pediatric, adolescent, and young adult lymphoma: association with late treatment effects.

OBJECTIVES: The objective of this study was to translate a deep learning (DL) approach for semiautomated analysis of body composition (BC) measures fr...