… -19 on global healthcare and the associated infrastructure, … healthcare stakeholders to
adopt digital technologies [7,8]. Notably, key foundational changes occurred in the healthcare …

… Drawing on the theoretical lens of framing, we analyse a case of adoption of the AI
system IBM Watson in public healthcare in China, to map how three groups of stakeholders (…

… and adoption of the (AI) projects in healthcare [1, 2]. Additionally, Massive quantity of
research studies relating to the critical success factors for Information Technology (IT) projects in …

… for discussions of AI in health care is actually to discuss machine learning (ML), which is the
… frame the challenges facing health care systems that are hoping to adopt ML in the coming …

… This study attempts to extend this finding to AI adoption in health care by studying the …
to the technology adoption literature, specifically AI adoption in health care. Effective health …

… AI to transform healthcare, … adoption and explains why adoption has taken place at a slow
pace. Research sources for the article include interviews with provider executives, healthcare …

… rate of adoption of artificial intelligence (AI) in the healthcare … , and challenges behind AI
adoption in the healthcare sector. 50 … The results revealed that the adoption of AI was affected by …

… We define the adoption of AI in healthcare as the stage at which a decision is made by
hospitals or individual users (such as patients, doctors, and medical personnel) to adopt an AI …

… the ease of use of Artificial Intelligence (AI) in healthcare. The paper … adoption of AI in
healthcare. The paper draws upon key concepts of TAM (Technology Acceptance Model), adopting …

… AI liability insurance can facilitate adoption of AI tools that will… related challenges to AI adoption
in health care. We propose … , physician, and health care organization leadership interests. …