Pediatrics

Increased Utilization of Telemedical Emergency and Nonurgent Care Following Deployment of Virtual Triage and Care Referral in Australia.

OBJECTIVE: To evaluate whether an artificial intelligence-based national virtual triage and care ref...

Disease and state dependent neural markers in adolescents with BD. Understanding the neural bases of mania, depression and remission in a data fusion approach.

BACKGROUND: Pediatric bipolar disorder (PBD) is a severe and disabling condition marked by alternati...

Advancing mold identification in the routine laboratory, performance of smartphone-based imaging and a newly developed convolutional neural network.

Mold identification in clinical diagnostics is traditionally labor-intensive and is dependent on exp...

Development and Validation of an Automated Pipeline for the Detection of Monteggia Fracture Dislocations in Pediatric Radiographs.

BACKGROUND: Monteggia fractures are a complex elbow injury that can be missed in up to 50% of pediat...

Artificial Intelligence in Pediatric Oncology Care: Pediatric Nurses' Perspectives and Future Implications.

OBJECTIVES: This study aimed to explore pediatric oncology nurses' perspectives on the integration o...

A subject-based association network defines new pediatric sleep apnea phenotypes with different odds of recovery after treatment.

BACKGROUND AND OBJECTIVES: Timely treatment of pediatric obstructive sleep apnea (OSA) can prevent o...

Diagnostic modalities in pediatric obstructive sleep apnea: A review article.

BACKGROUND: Pediatric obstructive sleep apnea (OSA) affects ∼3 % of children and causes adverse neur...

Multimodality Artificial Intelligence for Involved-Site Radiation Therapy: Clinical Target Volume Delineation in High-Risk Pediatric Hodgkin Lymphoma.

PURPOSE: Clinical target volume (CTV) delineation for involved-site radiation therapy (ISRT) in Hodg...

Self-Driving Development of Perfusion Processes for Monoclonal Antibody Production.

The development of autonomous agents in bioprocess development is crucial for advancing biopharma in...

Artificial Intelligence in Pediatric Surgery-From Vision to Clinical Reality.

Computer-vision based recognition of cervical spine stabilization during trauma resuscitation.

BACKGROUND: Cervical spine (c-spine) injuries can lead to significant disability and mortality. Alth...

Artificial Intelligence Across the Obesity Continuum: From Mechanistic Insights to Global Precision Prevention and Therapy.

Obesity is a complex, rapidly escalating global health challenge that demands innovation across biol...

Next-Gen Midwifery Support: Designing an Artificial Intelligence (AI) Enhanced Mobile App for Pregnancy Risk Categorization and Clinical Decision Support on Maternal and Neonatal Outcomes.

BACKGROUND: Limited medical professionals, particularly in rural community, impedes patient treatmen...

DGPCNet: anemia detection from multimodal palm, fingernails, and eye conjunctiva images using deep global pyramid convolutional network.

BACKGROUND: Anemia is one of the most common hematological disorders causing fatigue, increased vuln...

Quantitative EEG enhances early assessment and prognostic stratification of brain dysfunction in infants with abusive head trauma.

AIM: To assess the value of quantitative EEG (qEEG) as a diagnostic and prognostic biomarker in infa...

Machine learning (ML) and deep learning (DL) in vaccine target selection, design, development and characterization.

Vaccination is an effective approach that saves the lives of millions of people. Computer tools and ...

Deep learning for pediatric femoral neck fracture detection in a multicenter study.

Pediatric femoral neck fractures (FNFs) are uncommon but may result in severe complications if undia...

Integrating education-based interventions and machine learning for stunting prevention: A case study in East Lombok, Indonesia.

One of the regions in Indonesia that has the highest prevalence of stunting cases is West Nusa Tengg...

Integrating administrative health data and machine learning to predict ALS onset.

BACKGROUND: This study aims to develop a Machine Learning (ML) model to predict the initial diagnosi...

Precision medicine in Moyamoya vasculopathy.

PURPOSE OF REVIEW: Moyamoya vasculopathy is a progressive cerebrovascular steno-occlusive disease wi...

Self-learning and Simulation in the 21st Century: From Textbooks to ChatGPT.

The growth of the digital age has corresponded with decreased operative experience and concern for l...