Background Despite substantial progress in AI research for healthcare, translating research
achievements to AI systems in clinical settings is challenging and, in many cases …

Artificial Intelligence (AI) is increasingly influential across various sectors, including
healthcare, with the potential to revolutionize clinical practice. However, risks associated …

Background: The integration of artificial intelligence (AI) into our digital healthcare system is
seen as a significant strategy to contain Australia's rising healthcare costs, support clinical …

Objectives This review study was aimed to identify and document organizational,
professional, and patient characteristics influencing the adoption of Artificial Intelligence (AI) …

Background Effective deployment of AI tools in primary health care requires the engagement
of practitioners in the development and testing of these tools, and a match between the …

Background: Though artificial intelligence (AI) in healthcare has great potential, medicine
has been slow to adopt AI tools. Barriers and facilitators to clinical AI implementation among …

Artificial intelligence applications are prevalent in the research lab and in startups, but
relatively few have found their way into healthcare provider organizations. Adoption of AI …

Artificial intelligence (AI) in the domain of healthcare is increasing in prominence.
Acceptance is an indispensable prerequisite for the widespread implementation of AI. The …

Background Artificial intelligence (AI) is often heralded as a potential disruptor that will
transform the practice of medicine. The amount of data collected and available in health …

Background Alongside the promise of improving clinical work, advances in healthcare
artificial intelligence (AI) raise concerns about the risk of deskilling clinicians. This purpose …