Health Policy

Contemporary Pure Laparoscopic Robot-Assisted Laparoscopic Radical Nephrectomy: Is the Transition Worth It?

The proportion of robotic procedures continues to rise. The literature reinforces that robotic proc...

A Redundant Configuration of Four Low-Cost GNSS-RTK Receivers for Reliable Estimation of Vehicular Position and Posture.

This paper proposes a low-cost sensor system composed of four GNSS-RTK receivers to obtain accurate ...

Reducing the energy cost of running using a lightweight, low-profile elastic exosuit.

BACKGROUND: Human beings can enhance their distance running performance with the help of assistive d...

Health Technology Assessment for Cardiovascular Digital Health Technologies and Artificial Intelligence: Why Is It Different?

Innovations in health care are growing exponentially, resulting in improved quality of and access to...

Optimization of a Sports Activity Development Model Using Artificial Intelligence under New Curriculum Reform.

The recent curriculum reform in China puts forward higher requirements for the development of physic...

Quality Analysis of YouTube Videos Presenting Shoulder Exercises after Breast Cancer Surgery.

BACKGROUND: The prolonged immobilization suggested after breast cancer (BC) surgery causes morbidity...

Effect of hybrid drying on the quality attributes of formulated instant banana-milk powders and shakes during storage.

The present research aimed to evaluate the effect of microwave-assisted conventional drying (hybrid ...

Assessment of Volatile Aromatic Compounds in Smoke Tainted Cabernet Sauvignon Wines Using a Low-Cost E-Nose and Machine Learning Modelling.

Wine aroma is an important quality trait in wine, influenced by its volatile compounds. Many factors...

Prediction Algorithm of Young Students' Physical Health Risk Factors Based on Deep Learning.

Young people's physical and mental health is the foundation of society's overall development and the...

Improving cerebral microvascular image quality of optical coherence tomography angiography with deep learning-based segmentation.

Optical coherence tomography angiography (OCTA) can map the microvascular networks of the cerebral c...

Machine learning for manually-measured water quality prediction in fish farming.

Monitoring variables such as dissolved oxygen, pH, and pond temperature is a key aspect of high-qual...

Image quality issues in teledermatology: A comparative analysis of artificial intelligence solutions.

Deep learning-enabled ultra-widefield retinal vessel segmentation with an automated quality-optimized angiographic phase selection tool.

OBJECTIVES: To demonstrate the feasibility of a deep learning-based vascular segmentation tool for U...

Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis.

BACKGROUND: Patients with urolithiasis undergo radiation overexposure from computed tomography (CT) ...

Machine learning versus regression modelling in predicting individual healthcare costs from a representative sample of the nationwide claims database in France.

BACKGROUND: Innovative provider payment methods that avoid adverse selection and reward performance ...

Multi-Dimensional Feature Fusion Network for No-Reference Quality Assessment of In-the-Wild Videos.

Over the past few decades, video quality assessment (VQA) has become a valuable research field. The ...

Research on Pepper External Quality Detection Based on Transfer Learning Integrated with Convolutional Neural Network.

A pepper quality detection and classification model based on transfer learning combined with convolu...

[Current developments on digitalization : Analysis of quality and economics in healthcare].

BACKGROUND: In the German healthcare system and thus also in the field of urology, economic conditio...

Feature extraction and machine learning techniques for identifying historic urban environmental hazards: New methods to locate lost fossil fuel infrastructure in US cities.

U.S. cities contain unknown numbers of undocumented "manufactured gas" sites, legacies of an industr...

Applications of machine and deep learning to patient-specific IMRT/VMAT quality assurance.

In order to deliver accurate and safe treatment to cancer patients in radiation therapy using advanc...

Data Quality, Data Sharing, and Moving Artificial Intelligence Forward.