Health Policy

ImpACT Project: Improving Access to Clinical Trials in Victoria, an Artificial Intelligence-Based Approach.

PURPOSE: Enhancing the speed and efficiency of clinical trial recruitment is a key objective across ...

Cost-effectiveness of a machine learning risk prediction model (LungFlag) in the selection of high-risk individuals for non-small cell lung cancer screening in Spain.

OBJECTIVE: The LungFlag risk prediction model uses individualized clinical variables to identify ind...

Machine learning-based automated waste sorting in the construction industry: A comparative competitiveness case study.

This article presents a comparative analysis of the circularity and cost-efficiency of two distinct ...

Predictive modeling of air quality in the Tehran megacity via deep learning techniques.

Air pollution is a significant challenge in metropolitan areas, where increasing amounts of air poll...

DANTE-CAIPI Accelerated Contrast-Enhanced 3D T1: Deep Learning-Based Image Quality Improvement for Vessel Wall MRI.

BACKGROUND AND PURPOSE: Accelerated and blood-suppressed postcontrast 3D intracranial vessel wall MR...

The Goldilocks Zone: Finding the right balance of user and institutional risk for suicide-related generative AI queries.

Generative artificial intelligence (genAI) has potential to improve healthcare by reducing clinician...

Deep Power-Aware Tunable Weighting for Ultrasound Microvascular Imaging.

Ultrasound microvascular imaging (UMI), including ultrafast power Doppler imaging (uPDI) and ultraso...

Semantic segmentation using synthetic images of underwater marine-growth.

INTRODUCTION: Subsea applications recently received increasing attention due to the global expansion...

Diet Quality and Caloric Accuracy in AI-Generated Diet Plans: A Comparative Study Across Chatbots.

With the rise of artificial intelligence (AI) in nutrition and healthcare, AI-driven chatbots are i...

Revolutionizing surgery: AI and robotics for precision, risk reduction, and innovation.

Artificial intelligence and robotics are revolutionizing surgical practices by enhancing precision, ...

Revolutionizing Health Care: The Transformative Impact of Large Language Models in Medicine.

Large language models (LLMs) are rapidly advancing medical artificial intelligence, offering revolut...

Countering AI-powered disinformation through national regulation: learning from the case of Ukraine.

Advances in the use of AI have led to the emergence of a greater variety of forms disinformation can...

Research on the impact of artificial intelligence technology on urban public health resilience.

Urban public health resilience has become a critical focus in the transition to high-quality develop...

Editorial: Artificial intelligence, machine learning, and data-mining techniques to increase cost-effectiveness in healthcare.

Inclusion of hypocretin-1 improved performance of poor sleep quality prediction for elderly patients with acute ischemic stroke: a prospective cohort study.

BACKGROUND: Hypocretin-1 is a vital neurotransmitter in regulating the sleep-wake cycle and provides...

Real-Time Analytics and AI for Managing No-Show Appointments in Primary Health Care in the United Arab Emirates: Before-and-After Study.

BACKGROUND: Primary health care (PHC) services face operational challenges due to high patient volum...

Optimal selection of machine learning algorithms for ciprofloxacin prediction based on conventional water quality indicators.

The long-term presence of antibiotics in the aquatic environment will affect ecology and human healt...

Generative Artificial Intelligence Responses to Common Patient-Centric Hand and Wrist Surgery Questions: A Quality and Usability Analysis.

Due to the rapid evolution of generative artificial intelligence (AI) and its implications on patie...

ARTIFICIAL INTELLIGENCE DEMONSTRATES POTENTIAL IN DETECTING CARIES ON BITEWING RADIOGRAPHS, BUT FURTHER HIGH-QUALITY STUDIES ARE REQUIRED.

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION: Diagnostic performance of artificial intelligence-aided...

Improving groundwater quality predictions in semi-arid regions using ensemble learning models.

Groundwater resources constitute one of the primary sources of freshwater in semi-arid and arid clim...

The Adelaide Score: prospective implementation of an artificial intelligence system to improve hospital and cost efficiency.

BACKGROUND: The Adelaide Score is an artificial intelligence system that integrates objective vital ...