AIMC Topic: Child

Clear Filters Showing 3231 to 3240 of 3433 articles

Classification of Current Procedural Terminology Codes from Electronic Health Record Data Using Machine Learning.

Anesthesiology
BACKGROUND: Accurate anesthesiology procedure code data are essential to quality improvement, research, and reimbursement tasks within anesthesiology practices. Advanced data science techniques, including machine learning and natural language process...

Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning-Based Analysis of Chest Radiographs.

JAMA cardiology
IMPORTANCE: Chest radiography is a useful noninvasive modality to evaluate pulmonary blood flow status in patients with congenital heart disease. However, the predictive value of chest radiography is limited by the subjective and qualitive nature of ...

Automated machine learning based on radiomics features predicts H3 K27M mutation in midline gliomas of the brain.

Neuro-oncology
BACKGROUND: Conventional MRI cannot be used to identify H3 K27M mutation status. This study aimed to investigate the feasibility of predicting H3 K27M mutation status by applying an automated machine learning (autoML) approach to the MR radiomics fea...

[Artificial intelligence in pediatric surgery : Present and future].

Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen
BACKGROUND: Artificial intelligence, automatization and digital transformation increasingly dominate the business models of almost all enterprises. Even in medicine and medical technology, companies also no longer close their minds to this developmen...

Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders.

Science robotics
Socially assistive robotics (SAR) has great potential to provide accessible, affordable, and personalized therapeutic interventions for children with autism spectrum disorders (ASD). However, human-robot interaction (HRI) methods are still limited in...

Expert artificial intelligence-based natural language processing characterises childhood asthma.

BMJ open respiratory research
INTRODUCTION: The lack of effective, consistent, reproducible and efficient asthma ascertainment methods results in inconsistent asthma cohorts and study results for clinical trials or other studies. We aimed to assess whether application of expert a...

Evaluation of clinical impact of pharmacogenomics knowledge involved in CPIC guidelines on Chinese pediatric patients.

Pharmacogenomics
To evaluate the clinical benefits of implementing pharmacogenomics testing for Chinese pediatric patients.   Based on the drug-gene interactions involved in the Clinical Pharmacogenetics Implementation Consortium guidelines, whole-genome sequencing ...