 The study explores the characteristics of research on the implementation of artificial intelligence, AI, in healthcare practice, including the types and applications of AI systems, and the characteristics of the implementation process for AI systems. The results suggest that most AI systems are intended for clinical care, particularly patient-provider encounters, and possess no action autonomy, but rather support human decision-making. The focus of most research is on establishing the effectiveness of interventions or related to technical and computational aspects of AI systems. However, the use of frameworks to guide implementation is rare, and further research is needed on more disruptive types of AI systems being implemented in routine care and unique aspects of AI implementation in healthcare, such as building trust, addressing transparency issues, developing exploitable and interpretable solutions, and addressing ethical concerns around privacy and data protection. This article was authored by Malvika Sharma, Carl Savage, Monica Nair, and others. We are article.tv, links in the description below.