Medicaid

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...

Predictors of operative difficulty in robotic low anterior resection for rectal cancer.

AIM: This study evaluates the relationship of tumour and anatomical features with operative difficul...

Low-Complexity Adaptive Sampling of Block Compressed Sensing Based on Distortion Minimization.

Block compressed sensing (BCS) is suitable for image sampling and compression in resource-constraine...

Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease.

OBJECTIVES: To investigate whether deep learning reconstruction (DLR) could keep image quality and r...

Deep learning based low-activity PET reconstruction of [C]PiB and [F]FE-PE2I in neurodegenerative disorders.

PURPOSE: Positron Emission Tomography (PET) can support a diagnosis of neurodegenerative disorder by...

Optimal Superpixel Kernel-Based Kernel Low-Rank and Sparsity Representation for Brain Tumour Segmentation.

Given the need for quantitative measurement and 3D visualisation of brain tumours, more and more att...

Deep Learning-Based Vehicle Classification for Low Quality Images.

This study proposes a simple convolutional neural network (CNN)-based model for vehicle classificati...

Accuracy of two deep learning-based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra-low-dose chest computed tomography: A phantom study.

No published studies have evaluated the accuracy of volumetric measurement of solid nodules and grou...

Low-Dose Sparse-View HAADF-STEM-EDX Tomography of Nanocrystals Using Unsupervised Deep Learning.

High-angle annular dark-field (HAADF) scanning transmission electron microscopy (STEM) can be acquir...

Exploring Low-Toxicity Chemical Space with Deep Learning for Molecular Generation.

Creating a wide range of new compounds that not only have ideal pharmacological properties but also ...

Adapting a low-count acquisition of the bone scintigraphy using deep denoising super-resolution convolutional neural network.

PURPOSE: Deep-layer learning processing may improve contrast imaging with greater precision in low-c...

Multitask Deep Learning Tools Are Needed for Clinical Practice-Especially for Low Back Pain.

Prediction of blood pressure changes associated with abdominal pressure changes during robotic laparoscopic low abdominal surgery using deep learning.

BACKGROUND: Intraoperative hypertension and blood pressure (BP) fluctuation are known to be associat...

Assessment of low-dose paranasal sinus CT imaging using a new deep learning image reconstruction technique in children compared to adaptive statistical iterative reconstruction V (ASiR-V).

PURPOSE: To compare the effects of deep learning image reconstruction (DLIR) and adaptive statistica...

Harmonization of Physiological Data in Neurocritical Care: Challenges and a Path Forward.

Continuous multimodal monitoring in neurocritical care provides valuable insights into the dynamics ...

Large-Area and Low-Cost Force/Tactile Capacitive Sensor for Soft Robotic Applications.

This paper presents a novel design and development of a low-cost and multi-touch sensor based on cap...

A Low-Cost AI Buoy System for Monitoring Water Quality at Offshore Aquaculture Cages.

The ocean resources have been rapidly depleted in the recent decade, and the complementary role of a...

Predicting risks of low birth weight in Bangladesh with machine learning.

BACKGROUND AND OBJECTIVE: Low birth weight is one of the primary causes of child mortality and sever...

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0.

BACKGROUND: COVLIAS 1.0: an automated lung segmentation was designed for COVID-19 diagnosis. It has ...

Targeting the low detector with artificial intelligence.