… Moreover, we observed that the healthcare (23% impact), mobility (19% impact), privacy …
on AI adoption in smart cities. Since the epidemic hit cities in 2019, the healthcare industry has …

… systems are complex and challenging for all stakeholders, but artificial intelligence (AI) has
… in healthcare and supports healthcare organizations in effectively adopting AI technologies. …

… Ethical considerations will play a significant role by helping us circumvent potential obstacles
in the adoption of AI tools in healthcare. Thereby, the remaining questions that still tears …

… Artificial intelligence (AI) in the domain of healthcare is … barriers and facilitators influencing
healthcare professionals’ acceptance … Perceptions of the adoption of clinical decision support …

… on healthcare workers’ adoption intention of AI-assisted treatment technology (see Table
1). … healthcare workers’ adoption intention is primarily based on a single technology-adoption …

… artificial intelligence (AI) research into clinically-validated applications to improve the
performance, capacity, and efficacy of healthcare … Key barriers to the widespread adoption of …

… health care decision, the state of the health care condition, and whether or not the algorithm
involved is locked or adaptive. Developers are moreover to anticipate modifications ex ante …

… adoption of AI in healthcare. … adoption across medical and healthcare practices is the
broad conception provided by (Mijwel, 2015) who uses the term to refer to human intelligence …

… Adoption of medical AI is critical for providing affordable, high-quality healthcare in both the
… However, large-scale adoption of AI hinges not only on adoption by healthcare systems and …

… to generative AI ethics in healthcare, we propose to adopt and expand ethical principles,
from military to healthcare, to govern the application of generative AI in healthcare applications. …