Pediatrics

NeoAI 1.0: Machine learning-based paradigm for prediction of neonatal and infant risk of death.

BACKGROUND: The Neonatal mortality rate in the United States is 3.8 deaths per 1000 live births, whi...

Surgical Selection of T1 Stage Renal Tumor Resection Based on Imaging MAP Score under Smart Medical Care.

Smart medical uses the medical information platform and the current technological means to enable th...

E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining.

China Internet plus agriculture was first put forward in 2015 by the Chinese government's work repor...

Deep learning of birth-related infant clavicle fractures: a potential virtual consultant for fracture dating.

BACKGROUND: In infant abuse investigations, dating of skeletal injuries from radiographs is desirabl...

Utilization of Random Forest and Deep Learning Neural Network for Predicting Factors Affecting Perceived Usability of a COVID-19 Contact Tracing Mobile Application in Thailand "ThaiChana".

The continuous rise of the COVID-19 Omicron cases despite the vaccination program available has been...

[The role of bile acid measurement in the management of intrahepatic cholestasis of pregnancy].

Introduction: Intrahepatic cholestasis of pregnancy complicates 1% of pregnancies. It increases the ...

Parental Perceptions on Use of Artificial Intelligence in Pediatric Acute Care.

BACKGROUND: Family engagement is critical in the implementation of artificial intelligence (AI)-base...

Learned iterative segmentation of highly variable anatomy from limited data: Applications to whole heart segmentation for congenital heart disease.

Training deep learning models that segment an image in one step typically requires a large collectio...

Prosit-TMT: Deep Learning Boosts Identification of TMT-Labeled Peptides.

The prediction of fragment ion intensities and retention time of peptides has gained significant att...

Vaccine Therapy in Non-Small Cell Lung Cancer.

Immunotherapy using immune checkpoint modulators has revolutionized the oncology field, emerging as ...

A Study on Cross-Media Teaching Model for College English Classroom Based on Output-Driven Hypothetical Neural Network.

In the field of education, the development of educational big data has become an important strategic...

Research on Earnings Management of Growth Enterprise Market in China Stock Market: Comparative Analysis Based on the BPNN, GBDT, and MLR Models.

This study, based on 2011-2020 China's listed companies on GEM as research samples, introduces the B...

Automated segmentation of whole-body CT images for body composition analysis in pediatric patients using a deep neural network.

OBJECTIVES: To develop an automatic segmentation algorithm using a deep neural network with transfer...

Retraining an Artificial Intelligence Algorithm to Calculate Left Ventricular Ejection Fraction in Pediatrics.

OBJECTIVES: Identifying patients with low left ventricular ejection fraction (LVEF) and monitoring L...

Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning.

OBJECTIVE: We aimed to perform an external validation of an existing commercial AI software program ...

New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology.

Natural language processing (NLP) is a subfield of machine intelligence focused on the interaction o...

Evaluation of Smart City Sustainable Development Prospects Based on Fuzzy Comprehensive Evaluation Method.

In this study, the method of a fuzzy comprehensive evaluation is used to analyze the research situat...

Aspect Based Twitter Sentiment Analysis on Vaccination and Vaccine Types in COVID-19 Pandemic With Deep Learning.

Due to the COVID-19 pandemic, vaccine development and community vaccination studies are carried out ...

Validation of a deep learning computer aided system for CT based lung nodule detection, classification, and growth rate estimation in a routine clinical population.

OBJECTIVE: In this study, we evaluated a commercially available computer assisted diagnosis system (...

V08-07 Robotic Pyeloplasty of Lower Pole Moiety in a 2 Month Old Infant With Cutaneous Pyeloureteral (CPU) Stent. Erratum.

Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model.

OBJECTIVE: The purpose of this study is to evaluate the ability of three metrics to monitor for a re...