Health Policy

Deep learning-based image reconstruction for the multi-arterial phase images: improvement of the image quality to assess the small hypervascular hepatic tumor on gadoxetic acid-enhanced liver MRI.

PURPOSE: To evaluated the impact of a deep learning (DL)-based image reconstruction on multi-arteria...

Improving newborn screening in India: Disease gaps and quality control.

In India, newborn screening (NBS) is essential for detecting health problems in infants. Despite sig...

Survey on Value Elements Provided by Artificial Intelligence and Their Eligibility for Insurance Coverage With an Emphasis on Patient-Centered Outcomes.

OBJECTIVE: This study aims to explore the opinions on the insurance coverage of artificial intellige...

Contributing Components of Metabolic Energy Models to Metabolic Cost Estimations in Gait.

OBJECTIVE: As metabolic cost is a primary factor influencing humans' gait, we want to deepen our und...

Quality and safety of artificial intelligence generated health information.

Comparative analysis of image quality and interchangeability between standard and deep learning-reconstructed T2-weighted spine MRI.

RATIONALE AND OBJECTIVES: MRI reconstruction of undersampled data using a deep learning (DL) network...

Artificial intelligence insights into osteoporosis: assessing ChatGPT's information quality and readability.

UNLABELLED: Accessible, accurate information, and readability play crucial role in empowering indivi...

Advancing mortality rate prediction in European population clusters: integrating deep learning and multiscale analysis.

Accurately predicting population mortality rates is crucial for effective retirement insurance and e...

Improved overall image quality in low-dose dual-energy computed tomography enterography using deep-learning image reconstruction.

OBJECTIVE: To demonstrate the clinical advantages of a deep-learning image reconstruction (DLIR) in ...

Genetic programming expressions for effluent quality prediction: Towards AI-driven monitoring and management of wastewater treatment plants.

Continuous effluent quality prediction in wastewater treatment processes is crucial to proactively r...

Image quality and metal artifact reduction in total hip arthroplasty CT: deep learning-based algorithm versus virtual monoenergetic imaging and orthopedic metal artifact reduction.

BACKGROUND: To compare image quality, metal artifacts, and diagnostic confidence of conventional com...

Digital technologies to unlock safe and sustainable opportunities for medical device and healthcare sectors with a focus on the combined use of digital twin and extended reality applications: A review.

Medical devices have increased in complexity where there is a pressing need to consider design think...

Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment.

RATIONALE AND OBJECTIVES: To assess image quality, contrast volume and radiation dose reduction pote...

Application of Patient-Based Real-Time Quality Control Based on Artificial Intelligence Monitoring Platform in Continuously Quality Risk Monitoring of Down Syndrome Serum Screening.

BACKGROUND: Patient-based real-time quality control (PBRTQC) has gained attention because of its pot...

The infant health effects of doulas: Leveraging big data and machine learning to inform cost-effective targeting.

Doula services represent an underutilized maternal and child health intervention with the potential ...

Q-learning and fuzzy logic multi-tier multi-access edge clustering for 5g v2x communication.

The 5th generation (5 G) network is required to meet the growing demand for fast data speeds and the...

[Analysis of the challenges and dilemmas that bioethics of the 21st century will face in the digital health era].

The medical history underscores the significance of ethics in each advancement, with bioethics playi...

Long-term reduced functional capacity and quality of life in hospitalized COVID-19 patients.

BACKGROUND: Persistent symptoms and exercise intolerance have been reported after COVID-19, even mon...

Dr. Google to Dr. ChatGPT: assessing the content and quality of artificial intelligence-generated medical information on appendicitis.

INTRODUCTION: Generative artificial intelligence (AI) chatbots have recently been posited as potenti...

Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework.

BACKGROUND: Nowadays, healthcare systems are coping with the challenge of countering the exponential...

Systemic lupus in the era of machine learning medicine.

Artificial intelligence and machine learning applications are emerging as transformative technologie...