Pediatrics

Artificial Intelligence in Colorectal Cancer Supportive Care: A Scoping Review.

PURPOSE: Artificial Intelligence (AI) has the potential to enhance supportive care for cancer surviv...

Developmental Brain Age Estimation From MRI Data: A Systematic Review of Deep Learning Approaches and Open Datasets.

Brain age is an emerging concept that reflects complex, time-dependent changes in brain structure, i...

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...

Machine learning analysis of clinical, psychological and sociodemographic factors predicting mental well-being in patients with severe mental illness: Insights from the French REHABase cohort.

PURPOSE: Mental well-being is a cornerstone of recovery for people with mental disorders. Unfortunat...

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...

A Learning Accelerator Framework: Scalable Clinical Artificial Intelligence Development and Delivery.

OBJECTIVES: To introduce a vertically integrated model between a health care service provider and te...

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...

Developmental embedding of parvalbumin-positive interneurons drives local and crosshemispheric prefrontal gamma synchrony.

Gamma oscillations are critical for cortical cognitive processing. The ability to generate gamma osc...