… Artificial Intelligence (AI) solutions are already used and have additional potential to revolutionize
healthcare … on the challenges and solutions for the adoption of AI in HC by a literature …

Objectives This study used the Technology-Organization-Environment (TOE) framework to
identify the factors involved in the decisions made by integrated medical and healthcare …

Background: Significant investments and advances in health care technologies and practices
have created a need for digital and data-literate health care providers. Artificial intelligence …

… While there exist various adopted standards as for syntactic interoperability in health care,
eg, HL-7 messaging V2 or HL-7 FHIR, and openEHR archetypes, none of these provide fine-…

… Artificial Intelligence (AI) applications in medicine have grown considerably in recent years.
… to develop healthcare focused AI education programs to train local healthcare providers who …

… respondents knowledge of Artificial Intelligence and section C captured questions relating
to the respondents’ perception of the adoption of AI in healthcare service delivery in Nigeria. …

… In this part, we seek to summarize the theoretical models in healthcare service adoption …
healthcare service adoption from two perspectives, adoption subjects and adoption objects. …

… adoption of AIR in healthcare and to identify the significant factors that affect the adoption of
AIR in healthcare … studies concentrating on AIR adoption in healthcare sector in recent years. …

… to the healthcare industry. The purpose of this study is to identify the underlying factors that
affect the adoption of artificial intelligence in healthcare (AIH) by healthcare providers and to …

… Our paper adopted the Bibliometrix R … artificial intelligence and healthcare. This analysis
is essential to determine the research trend, identify gaps in the discussion on AI in healthcare, …