Health Policy

Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction.

To assess the image quality and radiation dose between reduced-dose CT with deep learning reconstruc...

Developing a cost-effective tool for choke flow rate prediction in sub-critical oil wells using wellhead data.

Accurate prediction of oil production rates through wellhead chokes is critical for optimizing crude...

A DeepSeek-powered locally deployed closed-loop system for enhancing quality control in electronic nursing documentation: development and clinical validation.

OBJECTIVES: To develop a locally deployed DeepSeek-powered closed-loop system for electronic nursing...

Equalizing access: How robotics and AI can transform surgical care worldwide.

The integration of robotics and artificial intelligence holds promise for improving access to surgic...

A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

The advancement of the Internet of Medical Things (IoMT) has transformed healthcare delivery by enab...

Hybrid AI and semiconductor approaches for power quality improvement.

This research presents a novel approach to improving electric power quality using semiconductor devi...

Learning quality-guided multi-layer features for classifying visual types with ball sports application.

Nowadays, breast cancer is one of the leading causes of death among women. This highlights the need ...

Low-quality papers based on public health data are flooding the scientific literature.

Enhancing breast positioning quality through real-time AI feedback.

OBJECTIVES: Enhance mammography quality to increase cancer detection by implementing continuous AI-d...

Motion artifacts and image quality in stroke MRI: associated factors and impact on AI and human diagnostic accuracy.

OBJECTIVES: To assess the prevalence of motion artifacts and the factors associated with them in a c...

[Artificial intelligence under scrutiny: requirements, quality criteria, and testing tools for medical applications].

The use of artificial intelligence (AI) in medicine has great potential to improve quality and effic...

Synergizing Nanosensor-Enhanced Wearable Devices with Machine Learning for Precision Health Management Benefiting Older Adult Populations.

Population aging presents significant health challenges and socioeconomic burdens globally, driving ...

The Power of Hellmann-Feynman Theorem: Kohn-Sham DFT Energy Derivatives with Respect to the Parameters of the Exchange-Correlation Functional at Linear Cost.

Efficient methods for computing derivatives with respect to the parameters of scientific models are ...

Integrating Artificial Intelligence in Thyroid Nodule Management: Clinical Outcomes and Cost-Effectiveness Analysis.

OBJECTIVE: The increasing incidence of thyroid nodules (TN) raises concerns about overdiagnosis and ...

Accelerated brain magnetic resonance imaging with deep learning reconstruction: a comparative study on image quality in pediatric neuroimaging.

BACKGROUND: Magnetic resonance imaging (MRI) is crucial in pediatric radiology; however, the prolong...

Cost-effectiveness analysis of artificial intelligence (AI) in earlier detection of liver lesions in cirrhotic patients at risk of hepatocellular carcinoma in Italy.

BACKGROUND: Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the third m...

Combating Antimicrobial Resistance: Role of Key Stakeholders with Focus on the Pharmaceutical Sector.

Antimicrobial resistance is a pressing global health threat fueled by a complex interplay of biologi...

Objective assessment of diagnostic image quality in CT scans: what radiologists and researchers need to know.

OBJECTIVES: Quantifying diagnostic image quality (IQ) is not straightforward but essential for optim...

Aqua-MC as a simple open access code for uncountable runs of AquaCrop.

Understanding uncertainty in crop modeling is essential for improving prediction accuracy and decisi...

Random access and semantic search in DNA data storage enabled by Cas9 and machine-guided design.

DNA is a promising medium for digital data storage due to its exceptional data density and longevity...

Value-Based Care in Orthopaedic Surgery: Outcomes, Costing, and Policy Updates.

➢ Strategic action following the measurement of outcomes in the context of cost allows for the reall...