Health Policy

A study on quality assessment of the surface EEG signal based on fuzzy comprehensive evaluation method.

Surface EEG (Electroencephalography) signal is vulnerable to interference due to its characteristics...

Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.

Performing quality control to detect image artifacts and data-processing errors is crucial in struct...

Estimating Prevalence, Demographics, and Costs of ME/CFS Using Large Scale Medical Claims Data and Machine Learning.

Techniques of data mining and machine learning were applied to a large database of medical and facil...

The Addition of Viriditec Aqueous Ozone to Peracetic Acid as an Antimicrobial Spray Increases Air Quality While Maintaining Typhimurium, Non-pathogenic , and Reduction on Whole Carcasses.

Currently, the most utilized antimicrobial in processing facilities is peracetic acid, PAA; however,...

Intensity-modulated radiation therapy of anal squamous cell carcinoma: Relationship between delineation quality and regional recurrence.

BACKGROUND AND PURPOSE: Intensity-modulated radiation therapy (IMRT) is currently indicated to treat...

Deep learning for patient-specific quality assurance: Identifying errors in radiotherapy delivery by radiomic analysis of gamma images with convolutional neural networks.

PURPOSE: Patient-specific quality assurance (QA) for intensity-modulated radiation therapy (IMRT) is...

The use of da Vinci Xi and the increased surgeon's experience could change the perspective over the cost-benefit ratio of robot-assisted surgery.

Review of water quality criteria for water reuse and risk-based implications for irrigated produce under the FDA Food Safety Modernization Act, produce safety rule.

Questions related to the safety of alternative water sources, such as recycled water or reclaimed wa...

Broadening the Perspective of Cost-Effectiveness Modeling in Chronic Obstructive Pulmonary Disease: A New Patient-Level Simulation Model Suitable to Evaluate Stratified Medicine.

OBJECTIVES: To develop a health economic model that included a great diversity of patient characteri...

Ultra-Low-Dose Neck CT With Low-Dose Contrast Material for Preoperative Staging of Thyroid Cancer: Image Quality and Diagnostic Performance.

OBJECTIVE: Although CT has been used as a complementary diagnostic method for the preoperative diagn...

Multi-Institutional Validation of a Knowledge-Based Planning Model for Patients Enrolled in RTOG 0617: Implications for Plan Quality Controls in Cooperative Group Trials.

PURPOSE: This study aimed to evaluate the feasibility of using a single-institution, knowledge-based...

Artificial Intelligence-Based Grading Quality of Bovine Blastocyst Digital Images: Direct Capture with Juxtaposed Lenses of Smartphone Camera and Stereomicroscope Ocular Lens.

In this study, we developed an online graphical and intuitive interface connected to a server aiming...

Early access to health products in France: Major advances of the French "Conseil stratégique des industries de santé" (CSIS) to be implemented (modalities, regulations, funding).

In a context of perpetual evolution of treatments, access to therapeutic innovation is a major chall...

"Artificial intelligence": Which services, which applications, which results and which development today in clinical research? Which impact on the quality of care? Which recommendations?

Artificial intelligence (AI), beyond the concrete applications that have already become part of our ...

Photoelectrochemical biosensor for protein kinase A detection based on carbon microspheres, peptide functionalized Au-ZIF-8 and TiO/g-CN.

In this work, a novel and sensitive photoelectrochemical (PEC) strategy was designed for protein kin...

Applying Machine Learning Algorithms to Segment High-Cost Patient Populations.

BACKGROUND: Efforts to improve the value of care for high-cost patients may benefit from care manage...

Improving palliative care with deep learning.

BACKGROUND: Access to palliative care is a key quality metric which most healthcare organizations st...

Deep convolutional networks do not classify based on global object shape.

Deep convolutional networks (DCNNs) are achieving previously unseen performance in object classifica...

Diabetes and Obesity Associated with Poor Food Environments in American Indian Communities: the Tribal Health and Resilience in Vulnerable Environments (THRIVE) Study.

BACKGROUND: American Indians (AIs) have significantly higher rates of diet-related chronic diseases ...

Clinical text annotation - what factors are associated with the cost of time?

Building high-quality annotated clinical corpora is necessary for developing statistical Natural Lan...

Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.

Accurate image-based medical diagnosis relies upon adequate image quality and clarity. This has impo...