Public Health & Policy

Health Policy

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

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The integrated fuzzy AHP and fuzzy logic techniques for mapping and prioritizing groundwater potential zone based on water quality.

Groundwater, which is utilized to supply water demand in various sectors such as domestic water cons...

Machine learning-enhanced flavoromics: Identifying key aroma compounds and predicting sensory quality in sauce-flavor baijiu.

The quality of Sauce-flavor baijiu hinges on sensory characteristics and key aroma compounds, which ...

A modified TOPSIS algorithm for the assessment of sports quality in higher education using circular pythagorean fuzzy information.

Higher education institutions experience difficulties in sports quality assessment because multiple ...

Deep learning network enhances imaging quality of low-b-value diffusion-weighted imaging and improves lesion detection in prostate cancer.

BACKGROUND: Diffusion-weighted imaging with higher b-value improves detection rate for prostate canc...

Evaluation of spatial visual perception of streets based on deep learning and spatial syntax.

Street visual quality improvement plays an important role in urban development. An important directi...

New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance.

Transitional care may play a vital role in the sustainability of Europe's future healthcare system, ...

Groundwater drought and anthropogenic amplifiers: A review of assessment and response strategies in arid and semi-arid areas.

Groundwater drought, a prolonged period of abnormally low groundwater levels, poses a significant th...

Artificial Intelligence Technologies for Nursing Development: A Review of the Current Literature.

Recent years have seen rapid development of artificial intelligence (AI) technology revolutionizing ...

Deep learning-based model for difficult transfemoral access prediction compared with human assessment in stroke thrombectomy.

BACKGROUND: In mechanical thrombectomy (MT), extracranial vascular tortuosity is among the main dete...

Deep learning-based automatic image quality assessment in ultra-widefield fundus photographs.

OBJECTIVE: With a growing need for ultra-widefield fundus (UWF) fundus photographs in clinics and AI...

Evaluating an AI Chatbot "Prostate Cancer Info" for Providing Quality Prostate Cancer Screening Information: Cross-Sectional Study.

BACKGROUND: Generative artificial intelligence (AI) chatbots may be useful tools for supporting shar...

Artificial intelligence to improve cardiovascular population health.

With the advent of artificial intelligence (AI), novel opportunities arise to revolutionize healthca...

Balancing accuracy and cost in machine learning models for detecting medial vascular calcification in chronic kidney disease: a pilot study.

Machine learning algorithms that integrate multiple biomarkers are increasingly used in disease dete...

A cost-effective approach using generative AI and gamification to enhance biomedical treatment and real-time biosensor monitoring.

Biosensors are crucial to the diagnosis process since they are designed to detect a specific biologi...

Low-cost robotic manipulation of live microtissues for cancer drug testing.

The scarcity of human biopsies available for drug testing is a paramount challenge for developing th...

Defining the Criteria for Selecting the Right Extended Reality Systems in Healthcare Using Fuzzy Analytic Network Process.

In the past decade, extended reality (XR) has been introduced into healthcare due to several potenti...

Design of Low-Cost and Highly Energy-Efficient Convolutional Neural Networks Based on Deterministic Encoding.

Stochastic Computing has attracted extensive attention in the deployment of neural networks at the e...

Transforming Healthcare: The Role of Artificial Intelligence.

The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by e...

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