Health Policy

Mapping the Landscape of Care Providers' Quality Assurance Approaches for AI in Diagnostic Imaging.

The discussion on artificial intelligence (AI) solutions in diagnostic imaging has matured in recent...

CT image quality evaluation in the age of deep learning: trade-off between functionality and fidelity.

OBJECTIVE: To quantitatively compare DLIR and ASiR-V with realistic anatomical images.

Machine-Learning Classification of Pulse Waveform Quality.

Pulse measurements made using wearable devices can aid the monitoring of human physiological conditi...

Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models.

Detached off-grids, subject to the generated renewable energy (RE), need to balance and compensate t...

Socially Assistive Humanoid Robots: Effects on Depression and Health-Related Quality of Life among Low-Income, Socially Isolated Older Adults in South Korea.

Using a mixed-method study design, we examined the effects of a socially assistive humanoid robot (S...

The influence of neighborhood quality on tourism in China: Using Baidu Street View pictures and deep learning techniques.

Previous studies have investigated the determinants of urban tourism development from the various at...

A study on the performance and cost-effectiveness of robots in replacing manual nucleic acid collection method: Experience from the COVID-19 pandemic.

BACKGROUND: The COVID-19 pandemic has led nucleic acid collection and detection became a measure to ...

Artificial Intelligence-Driven Ultra-Fast Superresolution MRI: 10-Fold Accelerated Musculoskeletal Turbo Spin Echo MRI Within Reach.

Magnetic resonance imaging (MRI) is the keystone of modern musculoskeletal imaging; however, long pu...

Deep Learning for Spine MRI: Reducing Time Not Quality.

Volume-outcome relationship in intra-abdominal robotic-assisted surgery: a systematic review.

As robotic-assisted surgery (RAS) expands to smaller centres, platforms are shared between specialit...

Increased cost burden associated with robot-assisted rectopexy: do patient outcomes justify increased expenditure?

BACKGROUND: Robot-assisted surgical techniques have flourished over the years, with refinement in in...

A multi-granularity convolutional neural network model with temporal information and attention mechanism for efficient diabetes medical cost prediction.

As the cost of diabetes treatment continues to grow, it is critical to accurately predict the medica...

Addressing the Challenges and Barriers to the Integration of Machine Learning into Clinical Practice: An Innovative Method to Hybrid Human-Machine Intelligence.

Machine learning (ML) models have proven their potential in acquiring and analyzing large amounts of...

A decision fusion method based on classification models for water quality monitoring.

Monitoring of water quality is one of the world's main intentions for countries. Classification tech...

Surgical cost of robotic-assisted sacrocolpopexy: a comparison of two robotic platforms.

IMPORTANCE: Robotic assistance in pelvic organ prolapse surgery can improve surgeon ergonomics and i...

Deep Learning-Based Synthesized View Quality Enhancement with DIBR Distortion Mask Prediction Using Synthetic Images.

Recently, deep learning-based image quality enhancement models have been proposed to improve the per...

An Overview of Indoor Localization System for Human Activity Recognition (HAR) in Healthcare.

The number of older people needing healthcare is a growing global phenomenon. The assistance in long...

AI-Based Support System for Monitoring the Quality of a Product within Industry 4.0 Paradigm.

Three-dimensional (3D) printing, also known as additive manufacturing (AM), has already shown its po...

Characteristics of Artificial Intelligence Clinical Trials in the Field of Healthcare: A Cross-Sectional Study on ClinicalTrials.gov.

Artificial intelligence (AI) has driven innovative transformation in healthcare service patterns, de...

Development and Evaluation of Machine Learning-Based High-Cost Prediction Model Using Health Check-Up Data by the National Health Insurance Service of Korea.

In this study, socioeconomic, medical treatment, and health check-up data from 2010 to 2017 of the N...

Abdominopelvic CT Image Quality: Evaluation of Thin (0.5-mm) Slices Using Deep Learning Reconstruction.

Because thick-section images (typically 3-5 mm) have low image noise, radiologists typically use th...