Artificial intelligence (AI) innovation in healthcare has emerged as an increasingly significant
area of research. AI, digital data collection, and computer infrastructure advancements have …

Our paper develops theoretical and methodological principles of grounding assessing the
dominant trends in intersectoral academic research related linked to the main tools and …

AI technologies are absolutely changing the rules of the game all around the world.
However, the diffusion rate of AI is widely ranging across countries. This study aims to fulfill a …

Purpose Decision-making, reinforced by artificial intelligence (AI), is predicted to become
potent tool within the domain of supply chain management. Considering the importance of …

Purpose This paper explores the Adoption of Technological Innovation (ATI) in the
healthcare industry. It investigates how the literature has evolved, and what are the …

Healthcare (HC) sector has witnessed the growing proliferation of technological innovation
to enhance the quality of life, increased life expectancy, diagnostic options, and cost …

The Covid-19 pandemic highlighted the need of managing complex relations within the
healthcare ecosystem. The role of new technologies in achieving this goal is a topic of …

The recent world economic challenging status and widened poor-rich gap have established
additional risk for the global population, particularly in low-middle income countries. Artificial …

In the era of artificial intelligence, and particularly machine learning and deep learning
models, the availability of large datasets is crucial to develop innovative and effective …

As artificial intelligence-empowered applications flourish and machine learning
methodologies are commonly used to process large chunks of data and make decisions, the …