… Within healthcare, ophthalmology is uniquely positioned to benefit from AI … AI adoption that
impact the technology's utility. We examine these specific challenges that will face health care …

… Poor quality primary health care is a major issue in China, particularly in blindness prevention.
Artificial intelligence (AI) could provide early screening and accurate auxiliary diagnosis …

… has been massive progress in artificial intelligence (AI) with … are now actively being applied
in healthcare with many of the … , patient monitoring and healthcare interventions. This health …

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

… 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, …

… 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. …

… 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 …

… 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 …