Pediatrics

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

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Health Promotion, Health Literacy and Vaccine Hesitancy: The Role of Humanoid Robots.

The use of humanoid robot technologies within global healthcare settings is rapidly evolving; howeve...

Role of Artificial Intelligence in Cancer Diagnosis and Drug Development.

Cancer is a vast form of the disease that can begin in almost any organ or tissue of the body when a...

[The application of Da Vinci surgical system in pediatric otolaryngology head and neck surgery].

Da Vinci surgical system (DVSS), a novel surgical technology, is gradually applied in various surgic...

Artificial Intelligence to Improve Health Outcomes in the NICU and PICU: A Systematic Review.

CONTEXT: Artificial intelligence (AI) technologies are increasingly used in pediatrics and have the ...

Enhancing Diagnosis Through Technology: Decision Support, Artificial Intelligence, and Beyond.

Patient care in intensive care environments is complex, time-sensitive, and data-rich, factors that ...

Deep Learning in Therapeutic Antibody Development.

Deep learning applied to antibody development is in its adolescence. Low data volumes and biological...

Development and usability evaluation of a bedside robot system for inpatients.

BACKGROUND: Many inpatients become anxious or frightened about scheduled treatment processes, and me...

The potential applications of artificial intelligence in drug discovery and development.

Development of a new dug is a very lengthy and highly expensive process since only preclinical, phar...

Linking multi-media modeling with machine learning to assess and predict lake Chlorophyll concentrations.

Eutrophication and excessive algal growth pose a threat on aquatic organisms and the health of the p...

Effect of loaded polyacrylonitrile and polyvinyl pyrrolidone nanofibers on growth and the expression of and genes.

BACKGROUND AND PURPOSE: This study aimed to assess the effect of ethanolic extract (ACE) loaded pol...

A Machine Learning Driven Pipeline for Automated Photoplethysmogram Signal Artifact Detection.

Recent advances in Critical Congenital Heart Disease (CCHD) research using Photoplethysmography (PPG...

Applications of Artificial Intelligence in Pediatric Oncology: A Systematic Review.

PURPOSE: There is a need for an improved understanding of clinical and biologic risk factors in pedi...

Rising to the challenge of bias in health care AI.

Standfirst: AI-based models may amplify pre-existing human bias within datasets; addressing this pro...

The Role of Robotic Rehabilitation in Children with Neurodevelopmental Disorders.

In the last years, traditional treatments have been combined with innovative therapies, such as robo...

Deep Learning Algorithm to Predict Need for Critical Care in Pediatric Emergency Departments.

BACKGROUND AND OBJECTIVES: Emergency department (ED) overcrowding is a national crisis in which pedi...

Predicting Malignancy in Pediatric Thyroid Nodules: Early Experience With Machine Learning for Clinical Decision Support.

OBJECTIVE: To develop a machine learning tool to integrate clinical data for the prediction of non-b...

[Study on robot-assisted pedicle screw implantation in adolescent idiopathic scoliosis surgery].

OBJECTIVE: To investigate the safety and accuracy of robot-assisted pedicle screw implantation in th...

Utilizing graph machine learning within drug discovery and development.

Graph machine learning (GML) is receiving growing interest within the pharmaceutical and biotechnolo...

Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms.

Measuring leaf area index (LAI) is essential for evaluating crop growth and estimating yield, thereb...

Artificial Neural Network for Identification of Infant Feeding Tracking Using the Smart Bottle System.

In this work, we present the results of a comparison of simple artificial neural network (FFNN) desi...

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