Pediatrics

Latest AI and machine learning research in pediatrics for healthcare professionals.

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Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.

Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics....

Development of a light-initiated chemiluminescent assay platform for rapid detection of multiple inflammatory biomarkers.

The accurate and timely detection of inflammatory biomarkers, including C-reactive protein (CRP), in...

Development and Clinical Evaluation of a Mpox Antigen-detecting Rapid Diagnostic Test.

To address the global emergence of mpox after the 2022 epidemic, a rapid and accurate diagnostic too...

Comparing ChatGPT-4 and a Paediatric Intensive Care Specialist in Responding to Medical Education Questions: A Multicenter Evaluation.

OBJECTIVE: To compare the performance of the Generative Pre-trained Transformer model 4 (ChatGPT-4) ...

Artificial Intelligence-augmented public health interventions in India.

The adoption and scaling of technology in public health settings in the Global South have traditiona...

Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence.

Acute myeloid leukemia (AML) is a severe hematological malignancy characterized by high recurrence r...

Artificial Intelligence Performs Well for Patient-Level Education of Benign Anorectal Conditions.

BackgroundChatGPT, the most widely recognized AI chatbot, has been increasingly utilized by patients...

Development and Validation of a Novel Prediction Model for Hearing Loss From Cisplatin Chemotherapy.

PURPOSE: Cisplatin treats many common tumors but causes permanent and debilitating hearing loss (HL)...

Advancing cardiovascular care through actionable AI innovation.

Despite significant advances, the prevention and management of cardiovascular disease remain challen...

Behavior recognition technology based on deep learning used in pediatric behavioral audiometry.

This study aims to explore the feasibility and accuracy of deep learning-based pediatric behavioral ...

Innovative, Technology-Driven, Digital Tools for Managing Pediatric Urinary Incontinence: Scoping Review.

BACKGROUND: Urinary incontinence affects approximately 7% to 10% of children during the day and 9% t...

Machine learning models for acute kidney injury prediction and management: a scoping review of externally validated studies.

Despite advancements in medical care, acute kidney injury (AKI) remains a major contributor to adver...

Identification of Key Mitochondrial Autophagy-Related Genes in Fetal Growth Restriction.

OBJECTIVE: To identify key mitochondrial autophagy-related genes (MARGs) in fetal growth restriction...

From Sensors to Care: How Robotic Skin Is Transforming Modern Healthcare-A Mini Review.

In recent years, robotics has made notable progress, becoming an essential component of daily life b...

Van der Waals Epitaxy of 2D Gallium Telluride on Graphene: Growth Dynamics and Principal Component Analysis.

A scalable epitaxy of 2D layered materials and heterostructures constitutes a crucial step in develo...

Neural networks to model COVID-19 dynamics and allocate healthcare resources.

This study presents a neural network-based framework for COVID-19 transmission prediction and health...

Empowering Data Sharing in Neuroscience: A Deep Learning Deidentification Method for Pediatric Brain MRIs.

BACKGROUND AND PURPOSE: Privacy concerns, such as identifiable facial features within brain scans, h...

Predictors of psychotic experiences among adolescents with obsessive-compulsive symptoms: A data-driven machine learning approach.

AIM: Prediction of future psychosis in individuals with obsessive and compulsive (OC) symptoms is cr...

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