Background Cost-effectiveness analysis of artificial intelligence (AI) in medicine demands
consideration of clinical, technical, and economic aspects to generate impactful research of …

Artificial Intelligence (AI)-supported healthcare has seen a substantial rise in development in
recent years. The health economic impact is a crucial factor in the decision-making process …

Background: Quantitative systematic reviews have identified clinical artificial intelligence (AI)-
enabled tools with adequate performance for real-world implementation. To our knowledge …

Background The use of artificial intelligence (AI)–based tools in the care of individual
patients and patient populations is rapidly expanding. Objective The aim of this paper is to …

Background: The integration of artificial intelligence (AI)–based applications in the medical
field has increased significantly, offering potential improvements in patient care and …

Background: Artificial intelligence (AI) has been extensively used in a range of medical fields
to promote therapeutic development. The development of diverse AI techniques has also …

Background: Applications of artificial intelligence (AI) are pervasive in modern biomedical
science. In fact, research results suggesting algorithms and AI models for different target …

Background The uptake of artificial intelligence (AI) in health care is at an early stage.
Recent studies have shown a lack of AI-specific implementation theories, models, or …

Objective Artificial intelligence (AI) has been increasingly applied in various fields of science
and technology. In line with the current research, medicine involves an increasing number of …

Objectives This study aimed to systematically review recent health economic evaluations
(HEEs) of artificial intelligence (AI) applications in healthcare. The aim was to discuss …