Public Health & Policy

Medicaid

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

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Low dose threshold for measuring cardiac functional metrics using four-dimensional CT with deep learning.

BACKGROUND: Four-dimensional CT is increasingly used for functional cardiac imaging, including progn...

AI-Based Evaluation of Prostate MR Imaging at a Modern Low-field 0.55 T Scanner Compared to 3 T in a Screening Cohort.

PURPOSE: To evaluate the effect of lower field strength on quantitative apparent-diffusion-coefficie...

Portable, low-field magnetic resonance imaging for evaluation of Alzheimer's disease.

Portable, low-field magnetic resonance imaging (LF-MRI) of the brain may facilitate point-of-care as...

Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity.

Spiking neural networks (SNNs) have captivated the attention worldwide owing to their compelling adv...

A multimodal approach for few-shot biomedical named entity recognition in low-resource languages.

In this study, we revisit named entity recognition (NER) in the biomedical domain from a multimodal ...

Illumination-Guided progressive unsupervised domain adaptation for low-light instance segmentation.

Due to limited photons, low-light environments pose significant challenges for computer vision tasks...

Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software.

In this study, we introduce a denoising method aimed at improving the contrast ratio in low-field MR...

Prognostic prediction for HER2-low breast cancer patients using a novel machine learning model.

BACKGROUNDS: To develop a machine learning (ML) model for predicting the prognosis of breast cancer ...

3D full-dose brain-PET volume recovery from low-dose data through deep learning: quantitative assessment and clinical evaluation.

OBJECTIVES: Low-dose (LD) PET imaging would lead to reduced image quality and diagnostic efficacy. W...

Segmentation of Low-Grade Brain Tumors Using Mutual Attention Multimodal MRI.

Early detection and precise characterization of brain tumors play a crucial role in improving patien...

Spatiotemporal Deep Learning-Based Cine Loop Quality Filter for Handheld Point-of-Care Echocardiography.

The reliability of automated image interpretation of point-of-care (POC) echocardiography scans depe...

A deep learning method for the recovery of standard-dose imaging quality from ultra-low-dose PET on wavelet domain.

PURPOSE: Recent development in positron emission tomography (PET) dramatically increased the effecti...

An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study.

BACKGROUND: To retrospectively assess the added value of an artificial intelligence (AI) algorithm f...

High-throughput point-of-care serum iron testing utilizing machine learning-assisted deep eutectic solvent fluorescence detection platform.

In this study, a high-throughput point-of-care testing (HT-POCT) system for detecting serum iron was...

Low-dimensional neural ordinary differential equations accounting for inter-individual variability implemented in Monolix and NONMEM.

Neural ordinary differential equations (NODEs) are an emerging machine learning (ML) method to model...

Use of machine learning to identify prognostic variables for outcomes in chronic low back pain treatment: a retrospective analysis.

OBJECTIVES: Most patients seen in physical therapy (PT) clinics for low back pain (LBP) are treated ...

Deep learning based ultra-low dose fan-beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy.

OBJECTIVE: We investigated the feasibility of deep learning-based ultra-low dose kV-fan-beam compute...

Feasibility of Ultra-low Radiation and Contrast Medium Dosage in Aortic CTA Using Deep Learning Reconstruction at 60 kVp: An Image Quality Assessment.

OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in a...

Advanced Low-Cost Technology for Assessing Metal Accumulation in the Body of a Metropolitan Resident Based on a Neural Network Model.

This study is devoted to creating a neural network technology for assessing metal accumulation in th...

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