Public Health & Policy

Medicaid

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

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Low-temperature plasma modulates seed germination through reactive oxygen species in dose-dependent manner.

Atmospheric pressure low-temperature plasma treatment has been shown to enhance seed germination in ...

Validation of the Klinrisk Machine Learning Model for CKD Progression in a Large Representative US Population.

BACKGROUND: Early identification of high-risk chronic kidney disease (CKD) can facilitate optimal me...

AI-Guided Cardiac Computer Tomography in Type 1 Diabetes Patients with Low Coronary Artery Calcium Score.

Cardiovascular risk stratification based on traditional risk factors lacks precision at the individ...

Sex differences in white matter amplitude of low-frequency fluctuation associated with cognitive performance across the Alzheimer's disease continuum.

BackgroundSex differences in Alzheimer's disease (AD) progression offer insights into pathogenesis a...

Application of CycleGAN-based low-light image enhancement algorithm in foreign object detection on belt conveyors in underground mines.

Clear monitoring images are crucial for the safe operation of belt conveyors in coal mines. However,...

Evaluating the transferability of low-cost sensor calibration using ANFIS: a field study in Putrajaya, Malaysia.

This study evaluates the robustness of a previously developed calibration model for low-cost ozone s...

Nurses perceptions and use of artificial intelligence in healthcare.

The integration of artificial intelligence (AI) in nursing care is an important professional issue. ...

Low-cost computation for isolated sign language video recognition with multiple reservoir computing.

Sign language recognition (SLR) has the potential to bridge communication gaps and empower hearing-i...

A new low-rank adaptation method for brain structure and metastasis segmentation via decoupled principal weight direction and magnitude.

Deep learning techniques have become pivotal in medical image segmentation, but their success often ...

Fermentation modeling and machine learning for flavor prediction in low-sodium radish paocai with potassium chloride substitution.

To address the challenge of high sodium in paocai, this study evaluated the partial substitution of ...

Role of High Fidelity Vs. Low Fidelity Experimental Data in Machine Learning Model Performance for Predicting Polymer Solubility.

Reliable classification of polymer-solvent compatibility is essential for solution formulation and m...

A machine learning optimized Dielectric Ultra-focused Oscillatory (DUO) electrode for low temperature electrosurgery.

The widespread adoption of radio frequency (RF) energy has made electrosurgery a cornerstone of mode...

MSA-Net: a multi-scale and adversarial learning network for segmenting bone metastases in low-resolution SPECT imaging.

BACKGROUND: Single-photon emission computed tomography (SPECT) plays a crucial role in detecting bon...

Imaging Clusters of Pediatric Low-Grade Glioma Are Associated with Distinct Molecular Characteristics.

BACKGROUND AND PURPOSE: Cancers show heterogeneity at various levels, from genome to radiologic imag...

Low-data machine learning models for predicting thermodynamic properties of solid-solid phase transformations in plastic crystals.

Plastic crystals, many of which are globular small molecules that exhibit transitions between rotati...

Ultra-low dose imaging in a standard axial field-of-view PET.

Though ultra-low dose (ULD) imaging offers notable benefits, its widespread clinical adoption faces ...

A Skin-Like Transparent, Low-Hysteresis, and Highly Conductive Ionogel for Human Motion Monitoring and Deep-Learning Assisted Human-Machine Interface.

Human skin functions not only as a barrier but also as a sensitive interface responding to environme...

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