Pediatrics

Deep learning for pediatric chest x-ray diagnosis: Repurposing a commercial tool developed for adults.

The number of commercially available artificial intelligence (AI) tools to support radiological work...

Development and validation of a dynamic early warning system with time-varying machine learning models for predicting hemodynamic instability in critical care: a multicohort study.

Non-invasive meningitis screening in neonates and infants: multicentre international study.

BACKGROUND AND OBJECTIVES: Meningitis diagnosis requires a lumbar puncture (LP) to obtain cerebrospi...

Development and validation of a deep learning image quality feedback system for infant fundus photography.

Retinopathy of prematurity (ROP) is a significant cause of childhood blindness. Many healthcare inst...

Multilingual identification of nuanced dimensions of hope speech in social media texts.

Hope plays a crucial role in human psychology and well-being, yet its expression and detection acros...

R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 20.

In this update, we examine Canada's Drug Agency position statement on artificial intelligence in evi...

Development and validation of an improved volumetric breast density estimation model using the ResNet technique.

. Temporal changes in volumetric breast density (VBD) may serve as prognostic biomarkers for predict...

Towards universal early screening for cerebral palsy: a roadmap for automated General Movements Assessment.

UNLABELLED: Cerebral palsy (CP) is the most common lifelong physical disability, affecting millions ...

Sequencing validates deep learning models for EHR-based detection of Noonan syndrome in pediatric patients.

Despite advanced diagnostic tools, early detection of rare genetic conditions like Noonan syndrome (...

Optical next generation reservoir computing.

Artificial neural networks with internal dynamics exhibit remarkable capability in processing inform...

The Impact of ChatGPT in Plastic Reconstructive Surgery: A Focus on Head and Neck Abnormalities.

Artificial Intelligence (AI), particularly ChatGPT, is reshaping how medical knowledge is accessed a...

Dr AI will see you now: could artificial intelligence replace general practitioners?

Artificial intelligence (AI) is a rapidly advancing field aiming to replicate human intelligence in ...

GraphCellNet: A deep learning method for integrated single-cell and spatial transcriptomic analysis with applications in development and disease.

Spatial transcriptomics (ST) integrates gene expression with spatial location, enabling precise mapp...

Development and temporal validation of a nomogram for predicting ICU 28-day mortality in middle-aged and elderly sepsis patients: An eICU database study.

BACKGROUND AND OBJECTIVE: Despite advances in intensive care, sepsis remains a leading cause of mort...

Artificial intelligence for healthcare: restrained development despite impressive applications.

BACKGROUND: Artificial intelligence (AI) remains poorly understood and its rapid growth raises conce...

Impact of environmental pollution on human health: Investigating the role of Polycyclic Aromatic Hydrocarbons in pediatric osteosarcoma.

BACKGROUND: Polycyclic aromatic hydrocarbons (PAHs), widely emitted through industrial processes and...

Generative artificial intelligence in cardiovascular specialty care: a scoping review.

BACKGROUND: The current research on the application of generative artificial intelligence in has sho...

Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence.

Low birthweight (LBW) is a significant health challenge worldwide, as these neonates experience both...

Plasma proteomics for biomarker discovery in childhood tuberculosis.

Failure to rapidly diagnose tuberculosis disease (TB) and initiate treatment is a driving factor of ...

Comparison of Expert Vocabulary Usage Patterns between Mental Health and Non-Mental Health Clinicians When Diagnosing Pediatric Anxiety Disorders.

OBJECTIVE: To compare the utilization patterns of expert vocabulary (EVo) in diagnosing pediatric an...

Artificial Intelligence for Tumor [F]FDG PET Imaging: Advancements and Future Trends - Part II.

The integration of artificial intelligence (AI) into [F]FDG PET/CT imaging continues to expand, offe...