Pediatrics

Development of an artificial intelligence-assisted system for tracheal intubation using a video laryngoscope in infants and neonates.

BACKGROUND: The larynx of infants and neonates is occasionally challenging to identify using video l...

Development and Validation of Machine Learning Models for Predicting 7-Day Mortality in Critically Ill Patients with Traumatic Spinal Cord Injury: A Multicenter Retrospective Study.

BACKGROUND: Traumatic spinal cord injury (TSCI), a severe central nervous system injury, despite tre...

In silico & in vitro approaches suggest osteoclastogenesis induction underlying fractures in Entrectinib-treated children.

Entrectinib, a potent, CNS-active, TRK and ROS1 inhibitor is associated with occurrence of bone frac...

Novel Application of Connectomics to the Surgical Management of Pediatric Arteriovenous Malformations.

Introduction The emergence of connectomics in neurosurgery has allowed for construction of detailed ...

Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening for Higher Fecal Immunochemical Test Adoption Among Spanish-Speaking Patients: Retrospective Analysis.

BACKGROUND: Colorectal cancer (CRC) screening rates remain disproportionately low among Hispanic and...

Death One Hour After Terminal Extubation in Children: Validation of a Machine Learning Model to Predict Cardiac Death After Withdrawal of Life-Sustaining Treatment in a Multicenter Cohort, 2009-2021.

OBJECTIVES: In the PICU, predicting death within 1 hour after terminal extubation (TE) is valuable i...

A computer vision-based approach for high-throughput automated analysis of Arabidopsis seedling phenotypes.

Phenotype observations are common methodologies in plant biology studies, ranging from recording gro...

[Current situation and development trends of minimally invasive surgical procedures in the treatment of pancreatic tumors].

With the rapid development of modern medical technology,minimally invasive surgical procedures are p...

Comprehensive analysis and experimental validation of BST1 as a novel diagnostic biomarker for pediatric sepsis using multiple machine learning algorithms.

Bone marrow stromal cell antigen-1 (BST1) expression is elevated in a variety of human diseases, but...

Emotional impact of AI-generated vs. human-composed music in audiovisual media: A biometric and self-report study.

Generative artificial intelligence (AI) has evolved rapidly, sparking debates about its impact on th...

N.U.R.S.E.S. embracing artificial intelligence: A guide to artificial intelligence literacy for the nursing profession.

Artificial intelligence (AI) is reshaping health care, making AI literacy vital for nursing professi...

Currently Available Large Language Models Are Moderately Effective in Improving Readability of English and Spanish Patient Education Materials in Pediatric Orthopaedics.

INTRODUCTION: Patient education materials (PEMs) consistently exceed the recommended sixth-grade rea...

A Comparative Assessment of Large Language Models in Pediatric Dialysis: Reliability, Quality and Readability.

INTRODUCTION: This study evaluated the reliability, quality, and readability of ChatGPT (OpenAI, San...

Artificial Intelligence in Hemophilia Management: Revolutionizing Patient Care and Future Directions.

Recent advancements in artificial intelligence (AI) hold significant promise for transforming hemoph...

Neural network-based multi-task learning to assist planning of posterior spinal fusion surgery for adolescent idiopathic scoliosis.

PURPOSE: Posterior spinal instrumentation and fusion (PSF) is the gold standard for severe adolescen...

Machine learning model for the prediction of postoperative acute kidney injury (AKI) in neonates undergoing digestive surgery.

OBJECTIVE: The aim of our study is to determine the main predictors of postoperative AKI in neonates...

Harnessing Generative Artificial Intelligence in Pediatric Anesthesia: Enhancing Learning, Patient Care, and Family Communication.

The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.

: Early identification and timely preventive interventions play an essential role for improving the ...

Technologies for the point-of-care diagnosis of malaria: a scoping review.

BACKGROUND: Malaria continues to pose a significant health challenge, particularly in low-resource s...

AI in Medical Questionnaires: Innovations, Diagnosis, and Implications.

This systematic review aimed to explore the current applications, potential benefits, and issues of ...

Physiological Response of Tissue-Engineered Vascular Grafts to Vasoactive Agents in an Ovine Model.

Tissue-engineered vascular grafts (TEVGs) are emerging as promising alternatives to synthetic grafts...