Medicaid

Predicting Colorectal Cancer Using Residual Deep Learning with Nursing Care.

Presently, colorectal cancer is the second most dangerous cancer; around 13% of people have been aff...

MSSort-DIA: A deep learning classification tool of the peptide precursors quantified by OpenSWATH.

OpenSWATH is an analysis toolkit commonly used for data independent acquisition (DIA). Although the ...

[New clinical applications for low-field magnetic resonance imaging : Technical and physical aspects].

BACKGROUND: Low-field magnetic resonance imaging (MRI) is experiencing a renaissance due to technica...

Explaining the differences of gait patterns between high and low-mileage runners with machine learning.

Running gait patterns have implications for revealing the causes of injuries between higher-mileage ...

Artificial intelligence outperforms standard blood-based scores in identifying liver fibrosis patients in primary care.

For years, hepatologists have been seeking non-invasive methods able to detect significant liver fib...

ArtifactID: Identifying artifacts in low-field MRI of the brain using deep learning.

Low-field MR scanners are more accessible in resource-constrained settings where skilled personnel a...

Image quality assessment of artificial intelligence iterative reconstruction for low dose aortic CTA: A feasibility study of 70 kVp and reduced contrast medium volume.

PURPOSE: To investigate the image quality and feasibility of a novel artificial intelligence iterati...

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer.

Since their approval for clinical use, da Vinci surgical robots have shown great advantages in gastr...

Early experience with the ARTISENTIAL articulated instruments in laparoscopic low anterior resection with TME.

BACKGROUND: The notion of articulation in surgery has been largely synonymous with robotics. The ART...

Development of Deep Learning-based Automatic Scan Range Setting Model for Lung Cancer Screening Low-dose CT Imaging.

RATIONALE AND OBJECTIVES: To develop an automatic setting of a deep learning-based system for detect...

Recurrent Neural Network Based Link Quality Prediction for Fluctuating Low Power Wireless Links.

One of the main methods for link quality prediction is to predict the physical layer parameters firs...

A low-cost, long-term underwater camera trap network coupled with deep residual learning image analysis.

Understanding long-term trends in marine ecosystems requires accurate and repeatable counts of fishe...

Application of deep learning image reconstruction in low-dose chest CT scan.

OBJECTIVE: Deep learning image reconstruction (DLIR) is a new reconstruction method for maintaining ...

Low-radiation dose scan protocol for preoperative imaging for dental implant surgery using deep learning-based reconstruction in multidetector CT.

OBJECTIVES: This study aimed to investigate the impact of a deep learning-based reconstruction (DLR)...

Investigating Simultaneity for Deep Learning-Enhanced Actual Ultra-Low-Dose Amyloid PET/MR Imaging.

BACKGROUND AND PURPOSE: Diagnostic-quality amyloid PET images can be created with deep learning usin...

Diagnostic validation of a deep learning nodule detection algorithm in low-dose chest CT: determination of optimized dose thresholds in a virtual screening scenario.

OBJECTIVES: This study was conducted to evaluate the effect of dose reduction on the performance of ...

Denoising of pediatric low dose abdominal CT using deep learning based algorithm.

OBJECTIVES: To evaluate standard dose-like computed tomography (CT) images generated by a deep learn...

Estimation of low-density lipoprotein cholesterol levels using machine learning.

BACKGROUND: Low-density lipoprotein-cholesterol (LDL-C) is used as a threshold and target for treati...

Time to Scrutinize and Revise the Fine Print of Lung Cancer Screening Using Low-Dose CT: Seeking Greater Confidence in Cancer Detectability.

Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT.

Background Ultra-low-dose (ULD) CT could facilitate the clinical implementation of large-scale lung ...

Hospital Ownership, Geographic Region, Patient Age, Comorbidities, and Insurance Status Appear to Influence Patient Selection Robot-Assisted Ureteral Reimplantation for Benign Disease: A Population-Based Analysis.

Robot-assisted ureteral reimplantation (RAUR) is a relatively new minimally invasive procedure. As ...