Public Health & Policy

Medicaid

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

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Traumatic brain injury management in the intensive care unit: standard of care and knowledge gaps.

Despite advances in the management of traumatic brain injury (TBI) in the intensive care unit (ICU),...

Low birth weight among neonates: Investigating incidence, risk factors, and AI-enabled predictive modeling for risk estimation.

BackgroundLow birth weight serves as a vital measure of maternal health and the efficacy of prenatal...

Machine learning assisted analysis of rice flower opening times using a low-cost time-lapse camera.

Flower opening time (FOT) is a key trait for successful reproduction and reproductive isolation. In ...

Identifying gait subgroups in low back pain patients with artificial intelligence: implications for individualized interventions.

PURPOSE: The following study aimed to investigate the existence of different gait profiles in patien...

Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation.

Low-rank methods have shown success in accelerating simulations of a collisionless plasma described ...

Diffusion-based image translation model from low-dose chest CT to calcium scoring CT with random point sampling.

BACKGROUND: Coronary artery calcium (CAC) scoring is an important method for cardiovascular risk ass...

An efficient low-shot class-agnostic counting framework with hybrid encoder and iterative exemplar feature learning.

Few-shot learning techniques have enabled the rapid adaptation of a general AI model to various task...

Predicting therapeutic clinical trial enrollment for adult patients with low- and high-grade glioma using supervised machine learning.

Therapeutic clinical trial enrollment does not match glioma incidence across demographics. Tradition...

A global object-oriented dynamic network for low-altitude remote sensing object detection.

With advancements in drone control technology, low-altitude remote sensing image processing holds si...

Integrating Radiogenomics and Machine Learning in Musculoskeletal Oncology Care.

Musculoskeletal tumors present a diagnostic challenge due to their rarity, histological diversity, a...

Converting High-Performance and Low-Latency SNNs Through Explicit Modeling of Residual Error in ANNs.

Spiking neural networks (SNNs) have garnered interest due to their energy efficiency and superior ef...

Effect of low-dose colchicine on pericoronary inflammation and coronary plaque composition in chronic coronary disease: a subanalysis of the LoDoCo2 trial.

BACKGROUND: Low-dose colchicine (0.5 mg once daily) reduces the risk of major cardiovascular events ...

Beyond current boundaries: Integrating deep learning and AlphaFold for enhanced protein structure prediction from low-resolution cryo-EM maps.

Constructing atomic models from cryo-electron microscopy (cryo-EM) maps is a crucial yet intricate t...

Age-Related Differences in Risk Factors for Long-Term Care Certification in Japan: A Decision Tree Analysis Spanning 3 Years.

Ensuring healthy aging and extending health span is critical, particularly in aging societies. This ...

Deep learning reconstruction combined with contrast-enhancement boost in dual-low dose CT pulmonary angiography: a two-center prospective trial.

PURPOSE: To investigate whether the deep learning reconstruction (DLR) combined with contrast-enhanc...

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