Public Health & Policy

Medicaid

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

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Showing 43-63 of 3,313 articles
Using graph machine learning to identify functioning in patients with low back pain in terms of ICF.

As a comprehensive perspective on functioning is useful in patient assessments, the WHO developed th...

Cross-domain subcortical brain structure segmentation algorithm based on low-rank adaptation fine-tuning SAM.

PURPOSE: Accurate and robust segmentation of anatomical structures in brain MRI provides a crucial b...

Formulation of low temperature mixed mode crack propagation behavior of crumb rubber modified HMA using artificial intelligence.

Determining mixed mode fracture parameters asphalt concrete mixtures remains an engineering challeng...

Machine learning evaluation model of pilot workload in a low-visibility environment.

To analyze the variation trend of pilots' workload in a low-visibility flight environment and then p...

Research on the impact of artificial intelligence development on urban low-carbon transformation.

Scientific analysis of the impact of artificial intelligence (AI) development on urban low-carbon tr...

Patient radiation safety in the intensive care unit.

The aim of this commentary review was to summarize the main research evidences on radiation exposure...

Accelerating Low- Dielectric Material Discovery: From Graph Machine Learning to Synthesis.

The exploration of dielectric materials with a specific permittivity remains a significant challenge...

The impact of EEG preprocessing parameters on ultra-low-power seizure detection.

OBJECTIVE: Closed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. ...

A multi-view CNN model to predict resolving of new lung nodules on follow-up low-dose chest CT.

OBJECTIVE: New, intermediate-sized nodules in lung cancer screening undergo follow-up CT, but some o...

Technologies for the point-of-care diagnosis of malaria: a scoping review.

BACKGROUND: Malaria continues to pose a significant health challenge, particularly in low-resource s...

Electrocardiogram-Based Artificial Intelligence for Detection of Low Ejection Fraction: A Contemporary Review.

Artificial intelligence (AI) is transforming the role of electrocardiography (ECG) in cardiovascular...

Quantum-classical deep learning hybrid architecture with graphene-printed low-cost capacitive sensor for essential tremor detection.

This study presents a novel hardware and software architecture combining capacitive sensors, quantum...

Biomanufacturing in low Earth orbit: A paradigm shift.

This perspective article explores the transformative potential of biomanufacturing in low Earth orbi...

Delivering equity in low-carbon multisector infrastructure planning.

Many countries worldwide are transitioning from fossil fuel-dependent economies to carbon neutrality...

Machine learning-based MRI radiomics predict IL18 expression and overall survival of low-grade glioma patients.

Interleukin-18 has broad immune regulatory functions. Genomic data and enhanced Magnetic Resonance I...

Test-retest reliability of kinematic and EEG low-beta spectral features in a robot-based arm movement task.

Low-beta (L, 13-20 Hz) power plays a key role in upper-limb motor control and afferent processing, m...

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