Pediatrics

Comparative performance evaluation of ChatGPT-4 Omni and Gemini Advanced in the Turkish Dentistry Specialization Exam.

BACKGROUND: In recent years, advancements in artificial intelligence (AI) have led to the widespread integration of large language models and their chatbot applications into various fields, including dental education. This study aimed to evaluate the accuracy of ChatGPT-4 Omni (ChatGPT-4o) and Gemini Advanced in answering multiple-choice questions from the Turkish Dentistry Specialization Exams (D...

A novel hypothetical protein (SAUSA300_1684) confers excellent protection against multi-drug-resistant Staphylococcus aureus infection in the murine model.

Staphylococcus aureus is a leading cause of nosocomial infections, including sepsis, bacteraemia, pneumonia, and endocarditis, and continues to pose a major public health challenge due to escalating multidrug resistance and the absence of an effective vaccine. To address this unmet clinical need, we employed a machine learning-guided reverse vaccinology approach to systematically interrogate the S...

Deconstruction by C. thermocellum-from microbe mediated to dynamic redistribution of cellulosomes.

Clostridium thermocellum is one of the most efficient microorganisms for the deconstruction of cellulosic biomass. To achieve this high level of cellu...

Ethical and Regulatory Considerations for Artificial Intelligence Adoption in Craniofacial Surgery.

Artificial intelligence (AI) continues to enhance surgical care, with growing applications in craniofacial surgery, including automated cephalometric ...

Development and external validation of an interpretable machine learning-based model for obesity risk prediction in 2-18-year-old children and adolescents in Beijing and Tangshan.

BACKGROUND: The multifactorial mechanisms driving childhood obesity, a global public health challenge, are yet to be fully elucidated. We aimed to dev...

Identification and validation of PANX1 as an inflammasome-related biomarker in gestational diabetes mellitus: insights from machine learning and experimental approaches.

Gestational diabetes mellitus (GDM) is characterized by glucose intolerance during pregnancy, resulting from insulin resistance, and is associated wit...

Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties.

Understanding and controlling grain growth kinetics in steels is crucial for optimizing mechanical properties during thermomechanical processing. Howe...

Construction of a classification system for long-term care service needs among the elderly based on cluster analysis and machine learning: A multi-center, cross-sectional study in central China.

BACKGROUND: Rapid global aging has led to an increasing demand for long-term care services for the elderly; however, current long-term care systems ar...

A multi-angle reflectance dataset of wheat and peach trees with unmanned aerial vehicle imagery.

Medium- to high-resolution satellite data, such as Sentinel-2 and Landsat-8, have significantly enhanced the accuracy of vegetation monitoring. Howeve...

Comparable Outcomes in Pediatric and Adult Patients With Sudden Sensorineural Hearing Loss.

OBJECTIVE: To identify prognostic factors for unilateral idiopathic sudden sensorineural hearing loss (SSNHL) in pediatric and adult patients, and to ...

Discussion of Predicting Pediatric Surgical Case Duration Using Machine Learning: Leveraging Team Dynamics and Case Flow Attributes.

Automatic radiation-free evaluation of Cobb angle for spinal curvature based on fringe projection profilometry and deep learning technology.

OBJECTIVE: Pediatric scoliosis is the most prevalent spinal disorder, often leading to abnormal curvature and deformation of the spine. Early detectio...

[Emphasizing evolution of key technological elements in reconstructive surgery].

Reconstructive surgery is fundamentally dedicated to restoring tissues and organs damaged by trauma, disease, or congenital anomalies, with the goal o...

Pediatric diabetes prediction using machine learning.

Diabetes is a chronic condition that affects a substantial portion of the global population and is linked to elevated mortality rates and a range of s...

Cross-well machine learning prediction of sonic logs in Newfoundland and Labrador.

Predicting compressional slowness (DTCO) from non-sonic logs can reduce acquisition cost, fill data gaps, and support field planning. We evaluate blin...

Complex Interactions Between Stress, Nutrition, Gut Microbiota, and Infectious Diseases and Their Impact on Health in Global Conflicts: A Narrative Review.

Following the global recovery from the COVID-19 pandemic, wars and conflicts have escalated to levels unseen since the Cold War. It is well known that...

PedIAtric Surgery: Artificial Intelligence and the new horizon in Science.

The Future of Critical Care.

The practice of caring for the critically ill has changed dramatically over the past 75 years, and the next 75 years will likely see similar dramatic ...

Artificial intelligence in the diagnosis and prognosis of pediatric bacterial pneumonia: current advances and challenges.

PURPOSE OF REVIEW: The clinical presentation of pediatric bacterial pneumonia often overlaps with that of other respiratory conditions, posing conside...

Bridging Nanostructure Growth and Gas-Sensing Kinetics in Metal-Functionalized Graphene Using Machine-Learned Molecular Dynamics.

Graphene functionalized with catalytic transition metals offers high-performance chemiresistive gas sensing by coupling graphene's exceptional electro...