Health Policy

Socially assistive robots for people with dementia: Systematic review and meta-analysis of feasibility, acceptability and the effect on cognition, neuropsychiatric symptoms and quality of life.

BACKGROUND: There is increasing interest in using robots to support dementia care but little consens...

Deep learning for spirometry quality assurance with spirometric indices and curves.

BACKGROUND: Spirometry quality assurance is a challenging task across levels of healthcare tiers, es...

Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality.

Cereals provide humans with essential nutrients, and its quality assessment has attracted widespread...

From Dose Reduction to Contrast Maximization: Can Deep Learning Amplify the Impact of Contrast Media on Brain Magnetic Resonance Image Quality? A Reader Study.

OBJECTIVES: The aim of this study was to evaluate a deep learning method designed to increase the co...

Minimizing Global Buffer Access in a Deep Learning Accelerator Using a Local Register File with a Rearranged Computational Sequence.

We propose a method for minimizing global buffer access within a deep learning accelerator for convo...

Automated quality assessment of chest radiographs based on deep learning and linear regression cascade algorithms.

OBJECTIVES: Develop and evaluate the performance of deep learning and linear regression cascade algo...

Should All Minimal Access Surgery Be Robot-Assisted? A Systematic Review into the Musculoskeletal and Cognitive Demands of Laparoscopic and Robot-Assisted Laparoscopic Surgery.

BACKGROUND: Surgeons are among the most at risk of work-related musculoskeletal health decline becau...

Design of Electronic Nose Detection System for Apple Quality Grading Based on Computational Fluid Dynamics Simulation and K-Nearest Neighbor Support Vector Machine.

Apples are one of the most widely planted fruits in the world, with an extremely high annual product...

Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics.

Each year there are nearly 57 million deaths worldwide, with over 2.7 million in the United States. ...

Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study.

BACKGROUND: Artificial intelligence (AI) tools increase detection of precancerous polyps during colo...

Visual Parameter Space Analysis for Optimizing the Quality of Industrial Nonwovens.

Technical textiles, in particular, nonwovens used, for example, in medical masks, have become increa...

A deep learning-based system for assessment of serum quality using sample images.

BACKGROUND: Serum quality is an important factor in the pre-analytical phase of laboratory analysis....

A Model Study on Raw Material Chemical Composition to Predict Sinter Quality Based on GA-RNN.

The quality control process for sintered ore is cumbersome and time- and money-consuming. When the a...

An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes.

Heart disease is a severe disorder, which inflicts an adverse burden on all societies and leads to p...

Invited Commentary: Challenging Current Notions in Foregut Surgery: A Veterans Affairs Surgical Quality Improvement Program Database Analysis of the Robotic and Laparoscopic Approach to Benign Foregut Surgery.

Artificial intelligence for routine esophagogastroduodenoscopy quality monitoring: Is the future right before our eyes?

Somatic Genome Editing with the Use of AI: Big Promises but Doubled Legal Issues.

Both Artificial Intelligence ('AI') and genome editing are technologies that on their own promise to...

A cost-aware framework for the development of AI models for healthcare applications.

Accurate artificial intelligence (AI) for disease diagnosis could lower healthcare workloads. Howeve...

A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm.

A high-resolution soil moisture prediction method has recently gained its importance in various fiel...

Improving the quality of predictive models in small data GSDOT: A new algorithm for generating synthetic data.

In the age of the data deluge there are still many domains and applications restricted to the use of...

Interpretation of ensemble learning to predict water quality using explainable artificial intelligence.

Algal bloom is a significant issue when managing water quality in freshwater; specifically, predicti...