Public Health & Policy

Health Policy

Latest AI and machine learning research in health policy for healthcare professionals.

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Rapid evaluation of Curcuma origin and quality based on E-eye, flash GC e-nose, and FT-NIR combined with machine learning technologies.

Curcuma, a key ingredient in curry and a popular health supplement, has been subject to adulteration...

[Therapeutic patient education and telemedicine in the age of artificial intelligence].

Since the promulgation of the July 21, 2009 law on hospital reform and patients, health and territor...

Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm.

The current approach to data access control predominantly utilizes blockchain technology. However, w...

Temporal and spatial feature extraction using graph neural networks for multi-point water quality prediction in river network areas.

Deep learning methods have demonstrated strong capabilities in capturing nonlinear relationships for...

Predicting quality of life of patients after treatment for spinal metastatic disease: development and internal evaluation.

BACKGROUND CONTEXT: When treating spinal metastases in a palliative setting, maintaining or enhancin...

[Artificial intelligence in Public Health: opportunities, ethical challenges and future perspectives].

Artificial Intelligence (AI) is transforming Public Health by providing innovative tools to address ...

Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles.

Large language models (LLMs), such as GPT-4o, provide versatile techniques for generating and format...

Development of an external quality assurance (EQA) structure to evaluate the quality of genetic pathology reporting.

A standard for reporting genetic pathology results currently does not exist as a consensus. While ef...

Accuracy and quality of ChatGPT-4o and Google Gemini performance on image-based neurosurgery board questions.

Large-language models (LLMs) have shown the capability to effectively answer medical board examinati...

Assessing potential toxic metal threats in tea growing soils of India with soil health indices and machine learning technologies.

This study explores the impact of potentially toxic metals (PTMs) contamination in Indian tea-growin...

Select for better learning: identifying high-quality training data for a multimodal cyclic transformer.

. Tonic-clonic seizures (TCSs), which present a significant risk for sudden unexpected death in epil...

Optimizing skin cancer screening with convolutional neural networks in smart healthcare systems.

Skin cancer is among the most prevalent types of malignancy all over the global and is strongly asso...

Artificial Intelligence and Qualitative Analysis of Emergency Department Telemental Health Care Implementation Survey.

: Implementation of telemental health care in emergency departments (EDs) in the United States (U.S....

Dr. Chatbot: Investigating the Quality and Quantity of Responses Generated by Three AI Chatbots to Prompts Regarding Carpal Tunnel Syndrome.

Introduction The objective of this study is to investigate the amount and accuracy of statements pro...

Development of an artificial intelligence-enhanced warfarin interaction checker platform.

Warfarin is a common anticoagulant drug for thrombo-prophylaxis in stroke and venous thromboembolism...

Tracking nutritional and quality changes in frozen pork: A 12-month study using 7 categories of meat parameters and VIS/NIR spectroscopy.

Frozen pork stocks are critical for stabilizing food security and prices, but assessing nutritional ...

The spatiotemporal evolution of dissolved-phase NAPL plumes revealed by the integrated groundwater quality and machine learning models.

Rapid prediction of dissolved-phase contamination plume distributions is crucial for emergency remed...

A lightweight PCT-Net for segmenting neural fibers in low-quality CCM images.

In this paper, we propose a lightweight Position Channel Transformer Network (PCT-Net) for segmentin...

The optimization and impact of public sports service quality based on the supervised learning model and artificial intelligence.

Aiming at the optimization of public sports service quality, this study analyzes the public sports s...

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