Public Health & Policy

Medicaid

Latest AI and machine learning research in medicaid for healthcare professionals.

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Understanding the low-temperature drying process of sludge with machine learning in a sewage-source heat pump drying system.

Heat pump drying technology based on sewage heat source is an eco-friendly sludge drying method. It ...

Low-Cost Raman Spectroscopy Setup Combined with a Machine Learning Model.

The diagnosis of kidney diseases presents significant challenges, including the reliance on variable...

Dual-domain Wasserstein Generative Adversarial Network with Hybrid Loss for Low-dose CT Imaging.

Low-dose computed tomography (LDCT) has gained significant attention in hospitals and clinics as a p...

AI-generated cancer prevention influencers can target risk groups on social media at low cost.

BACKGROUND: This study explores the potential of Artificial Intelligence (AI)-generated social media...

When low-light meets flares: Towards Synchronous Flare Removal and Brightness Enhancement.

Low-light image enhancement (LLIE) aims to improve the visibility and illumination of low-light imag...

Alzheimer's disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study.

OBJECTIVES: The future emergence of disease-modifying treatments for dementia highlights the urgent ...

Repeatability of AI-based, automatic measurement of vertebral and cardiovascular imaging biomarkers in low-dose chest CT: the ImaLife cohort.

OBJECTIVE: To evaluate the repeatability of AI-based automatic measurement of vertebral and cardiova...

Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study.

BACKGROUND: The increasing use of social media to share lived and living experiences of substance us...

Employing a low-code machine learning approach to predict in-hospital mortality and length of stay in patients with community-acquired pneumonia.

Community-acquired pneumonia (CAP) is associated with high mortality rates and often results in prol...

Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma.

Pediatric low-grade gliomas (pLGGs) exhibit heterogeneous prognoses and variable responses to treatm...

Assessing the performance of AI chatbots in answering patients' common questions about low back pain.

OBJECTIVES: The aim of this study was to assess the accuracy and readability of the answers generate...

Emulating Low-Dose PCCT Image Pairs With Independent Noise for Self-Supervised Spectral Image Denoising.

Photon counting CT (PCCT) acquires spectral measurements and enables generation of material decompos...

Generative Adversarial Network With Robust Discriminator Through Multi-Task Learning for Low-Dose CT Denoising.

Reducing the dose of radiation in computed tomography (CT) is vital to decreasing secondary cancer r...

CS-QCFS: Bridging the performance gap in ultra-low latency spiking neural networks.

Spiking Neural Networks (SNNs) are at the forefront of computational neuroscience, emulating the nua...

Evaluation of an Artificial Intelligence-Based Tool and a Universal Low-Cost Robotized Microscope for the Automated Diagnosis of Malaria.

The gold standard diagnosis for malaria is the microscopic visualization of blood smears to identify...

Fast ramp fraction loss SVM classifier with low computational complexity for pattern classification.

The support vector machine (SVM) is a powerful tool for pattern classification thanks to its outstan...

Advancing brain tumor detection and classification in Low-Dose CT images using the innovative multi-layered deep neural network model.

BackgroundEffective brain tumour therapy and better patient outcomes depend on early tumour diagnosi...

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