Medicaid

Deep learning-based denoising in projection-domain and reconstruction-domain for low-dose myocardial perfusion SPECT.

BACKGROUND: Low-dose (LD) myocardial perfusion (MP) SPECT suffers from high noise level, leading to ...

Clinical and bacteriological outcomes in patients with urinary tract infections presenting to primary care in Harare, Zimbabwe: a cohort study.

: Treatment for urinary tract infections (UTIs) is usually empiric and is based on local antimicrobi...

Dynamic Sepsis Prediction for Intensive Care Unit Patients Using XGBoost-Based Model With Novel Time-Dependent Features.

Sepsis is a systemic inflammatory response caused by pathogens such as bacteria. Because its pathoge...

Single-port robotic intersphincteric resection for very low rectal cancer with the da Vinci SP platform.

The impact of sparsity in low-rank recurrent neural networks.

Neural population dynamics are often highly coordinated, allowing task-related computations to be un...

Learning low-dose CT degradation from unpaired data with flow-based model.

BACKGROUND: There has been growing interest in low-dose computed tomography (LDCT) for reducing the ...

3D Human Pose, Shape and Texture From Low-Resolution Images and Videos.

3D human pose and shape estimation from monocular images has been an active research area in compute...

Protecting endangered megafauna through AI analysis of drone images in a low-connectivity setting: a case study from Namibia.

Assessing the numbers and distribution of at-risk megafauna such as the black rhino () is key to eff...

The Low Rate of Adherence to Checklist for Artificial Intelligence in Medical Imaging Criteria Among Published Prostate MRI Artificial Intelligence Algorithms.

OBJECTIVE: To determine the rigor, generalizability, and reproducibility of published classification...

Quantitative and qualitative assessments of deep learning image reconstruction in low-keV virtual monoenergetic dual-energy CT.

OBJECTIVES: To evaluate a novel deep learning image reconstruction (DLIR) technique for dual-energy ...

Comparative analysis of high- and low-level deep learning approaches in microsatellite instability prediction.

Deep learning-based approaches in histopathology can be largely divided into two categories: a high-...

Emphysema Quantification Using Ultra-Low-Dose Chest CT: Efficacy of Deep Learning-Based Image Reconstruction.

Background and Objectives: Although reducing the radiation dose level is important during diagnostic...

Design of ultra-thin underwater acoustic metasurface for broadband low-frequency diffuse reflection by deep neural networks.

Underwater acoustic metasurfaces have broad application prospects for the stealth of underwater obje...

A personalized deep learning denoising strategy for low-count PET images.

. Deep learning denoising networks are typically trained with images that are representative of the ...

Using natural language processing to identify acute care patients who lack advance directives, decisional capacity, and surrogate decision makers.

The prevalence of patients who are Incapacitated with No Evident Advance Directives or Surrogates (I...

Establishment of low-cost laboratory automation processes using AutoIt and 4-axis robots.

In most small laboratories, many processes are not yet automated because existing laboratory automat...

Comparison of the performances of machine learning and deep learning in improving the quality of low dose lung cancer PET images.

PURPOSE: To compare the performances of machine learning (ML) and deep learning (DL) in improving th...

Deep learning for fast low-field MRI acquisitions.

Low-field (LF) MRI research currently gains momentum from its potential to offer reduced costs and r...

Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural Network.

Real-time in situ image analytics impose stringent latency requirements on intelligent neural networ...

The effectiveness of extremely low-pressure pneumoperitoneum on pain reduction after robot-assisted cholecystectomy.

BACKGROUND: The robot-assisted cholecystectomy could provide a sufficient surgical field with the ex...

Reducing the energy cost of walking with low assistance levels through optimized hip flexion assistance from a soft exosuit.

As we age, humans see natural decreases in muscle force and power which leads to a slower, less effi...