Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

In healthcare, machine learning (ML) shows significant potential to augment patient care,
improve population health, and streamline healthcare workflows. Realizing its full potential …

The increase in the demands for surveillance of chronic diseases, long-term care, and self-
health management has allowed mobile smart health wearable devices to become products …

Background Digital transformation is currently one of the most influential developments. It is
fundamentally changing consumers' expectations and behaviors, challenging traditional …

Health care monitoring systems have mainly depended on the internet of things (IoT)
devices to collect, manage and analyze data from patients. Patients' health can be …

Artificial intelligence (AI) has significantly advanced healthcare and created unprecedented
opportunities to enhance patient-centeredness and empowerment. This progress promotes …

Objective This study aims to explore the mediating roles of technological interactivity and
technological anxiety in the relationship between perceived usefulness and the willingness …

Industry 4.0 has revolutionized the traditional production line toward smart factories in a
sustainable environment. It represents an intelligent manufacturing network, where …

The increasing prevalence of dementia has necessitated the introduction and use of
healthcare wearable devices to augment the healthcare services delivered to people with …

This article examines the impact of Artificial Intelligence (AI) on the comprehensive
rehabilitation of post-cancer patients, specifically in the areas of psychological support and …