Medicaid

Artificial Intelligence in Health Care: Current Applications and Issues.

In recent years, artificial intelligence (AI) technologies have greatly advanced and become a realit...

Low Rank Regularization: A review.

Low Rank Regularization (LRR), in essence, involves introducing a low rank or approximately low rank...

Conformational changes of β-thalassemia major hemoglobin and oxidative status of plasma after in vitro exposure to extremely low-frequency electromagnetic fields: An artificial neural network analysis.

Electromagnetic fields (EMF) can generate reactive oxygen species and induce oxidative modifications...

Prognostic Value and Reproducibility of AI-assisted Analysis of Lung Involvement in COVID-19 on Low-Dose Submillisievert Chest CT: Sample Size Implications for Clinical Trials.

PURPOSE: To compare the prognostic value and reproducibility of visual versus AI-assisted analysis o...

A deep learning approach to generate synthetic CT in low field MR-guided adaptive radiotherapy for abdominal and pelvic cases.

PURPOSE: Artificial intelligence (AI) can play a significant role in Magnetic Resonance guided Radio...

Seems to Be Low, but Is it Really Poor? Need for Cohort and Comparative Studies to Clarify the Performance of Deep Neural Networks.

Continuous Infusion Low-Dose Unfractionated Heparin for the Management of Hypercoagulability Associated With COVID-19.

INTRODUCTION: The Coronavirus Disease 2019 (COVID-19) is associated with severe hypercoagulability. ...

Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation.

The objective of our study was to assess the effect of the combination of deep learning-based denoi...

Low Testosterone on Social Media: Application of Natural Language Processing to Understand Patients' Perceptions of Hypogonadism and Its Treatment.

BACKGROUND: Despite the results of the Testosterone Trials, physicians remain uncomfortable treating...

Comparing a novel machine learning method to the Friedewald formula and Martin-Hopkins equation for low-density lipoprotein estimation.

BACKGROUND: Low-density lipoprotein cholesterol (LDL-C) is a target for cardiovascular prevention. C...

Accelerating T mapping of the brain by integrating deep learning priors with low-rank and sparse modeling.

PURPOSE: To accelerate T mapping with highly sparse sampling by integrating deep learning image prio...

The study of the differences between low-functioning autistic children and typically developing children in the processing of the own-race and other-race faces by the machine learning approach.

OBJECTIVE: Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder which affec...

Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images.

PURPOSE: Deep learning has shown great efficacy for semantic segmentation. However, there are diffic...

Noise reduction with cross-tracer and cross-protocol deep transfer learning for low-dose PET.

Previous studies have demonstrated the feasibility of reducing noise with deep learning-based method...

Realization of a push-me-pull-you swimmer at low Reynolds numbers.

Locomotion at low Reynolds numbers encounters stringent physical constraints due to the dominance of...

Image denoising by transfer learning of generative adversarial network for dental CT.

The successful development of the image denoising techniques for low-dose computed tomography (LDCT)...

Medical expert system for low back pain management: design issues and conflict resolution with Bayesian network.

The paper focuses on the development of a reliable medical expert system for diagnosis of low back p...

Ultra-low-dose chest CT imaging of COVID-19 patients using a deep residual neural network.

OBJECTIVES: The current study aimed to design an ultra-low-dose CT examination protocol using a deep...

Intuitionistic Fuzzy Hierarchical Multi-Criteria Decision Making for Evaluating Performances of Low-Carbon Tourism Scenic Spots.

Low-carbon tourism is an effective solution to cope with the goal conflict between developing touris...

Neurodynamical classifiers with low model complexity.

The recently proposed Minimal Complexity Machine (MCM) finds a hyperplane classifier by minimizing a...

Robotic total intersphincteric resection with total mesorectal excision in low rectal cancer - a video vignette.