Medicaid

High signal-to-noise ratio reconstruction of low bit-depth optical coherence tomography using deep learning.

SIGNIFICANCE: Reducing the bit depth is an effective approach to lower the cost of an optical cohere...

Classification of marine microalgae using low-resolution Mueller matrix images and convolutional neural network.

In this paper, we used a convolutional neural network to study the classification of marine microalg...

BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.

MOTIVATION: An automated counting of beads is required for many high-throughput experiments such as ...

[Determination of sulfation degree of heparin and low molecular weight heparins by capillary electrophoresis].

Heparin is composed of a highly sulfated linear saccharide and is widely used as an anticoagulant. L...

Cost-effectiveness of Autonomous Point-of-Care Diabetic Retinopathy Screening for Pediatric Patients With Diabetes.

IMPORTANCE: Screening for diabetic retinopathy is recommended for children with type 1 diabetes (T1D...

Low-Shot Deep Learning of Diabetic Retinopathy With Potential Applications to Address Artificial Intelligence Bias in Retinal Diagnostics and Rare Ophthalmic Diseases.

IMPORTANCE: Recent studies have demonstrated the successful application of artificial intelligence (...

Novel Low-Shot Deep Learning Approach for Retinal Image Classification With Few Examples.

Workforce Shortage for Retinopathy of Prematurity Care and Emerging Role of Telehealth and Artificial Intelligence.

Retinopathy of prematurity (ROP) is the leading cause of childhood blindness in very-low-birthweight...

A Machine Learning Approach to Detecting Low Medication State with Wearable Technologies.

Medication adherence is a critical component and implicit assumption of the patient life cycle that ...

An Infrared Array Sensor-Based Method for Localizing and Counting People for Health Care and Monitoring.

To build a system for monitoring elderly people living alone, an important step needs to be done: id...

Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images.

Pneumonia is one of the leading causes of childhood mortality worldwide. Chest x-ray (CXR) can aid t...

Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer.

Low-dose CT denoising is a challenging task that has been studied by many researchers. Some studies ...

Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.

OBJECTIVE: To compare the image quality of low-dose (LD) computed tomography (CT) obtained using a d...

Evaluating the Effect of Dexmedetomidine on Hemodynamic Status of Patients with Septic Shock Admitted to Intensive Care Unit: A Single-Blind Randomized Controlled Trial.

Septic shock, known as the most severe complication of sepsis, is a serious medical condition that c...

Automated sample preparation with SP3 for low-input clinical proteomics.

High-throughput and streamlined workflows are essential in clinical proteomics for standardized proc...

Recent and Upcoming Technological Developments in Computed Tomography: High Speed, Low Dose, Deep Learning, Multienergy.

The advent of computed tomography (CT) has revolutionized radiology, and this revolution is still go...

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.

Functional connectivity networks, derived from resting-state fMRI data, have been found as effective...

THE PROJECT OF ANOTHER LOW-COST METAPHASE FINDER (SECOND REPORT-APPLICATION OF ARTIFICIAL INTELLIGENCE).

Biological dosimetry is used to estimate individual absorbed radiation dose by quantifying an approp...

[Study of Skip Metastasis to Lateral Lymph Nodes in Low Rectal Cancer].

We reviewed the clinical records of 302 patients with low rectal carcinoma to evaluate the effective...

Investigation of Low-Dose CT Lung Cancer Screening Scan "Over-Range" Issue Using Machine Learning Methods.

Low-dose computed tomography (CT) lung cancer screening is recommended by the US Preventive Services...

Application of Artificial Intelligence-based Image Optimization for Computed Tomography Angiography of the Aorta With Low Tube Voltage and Reduced Contrast Medium Volume.

PURPOSE: The purpose of this study was to evaluate the impact of artificial intelligence (AI)-based ...