Background: As new technologies emerge, there is a significant shift in the way care is
delivered on a global scale. Artificial intelligence (AI) technologies have been rapidly and …

Background Artificial intelligence (AI) is a branch of computer science that uses advanced
computational methods, such as machine learning (ML), to calculate and predict health …

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 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 …

Background: Significant investments and advances in health care technologies and
practices have created a need for digital and data-literate health care providers. Artificial …

Background Despite advancements in artificial intelligence (AI) to develop prediction and
classification models, little research has been devoted to real-world translations with a user …

Background: Development of artificial intelligence (AI)–based technologies in health care is
proceeding rapidly. The sharing and release of real-world data are key practical issues …

Background: The preparation of the current and future health workforce for the possibility of
using artificial intelligence (AI) in health care is a growing concern as AI applications emerge …

Background: Artificial intelligence (AI) is often promoted as a potential solution for many
challenges health care systems face worldwide. However, its implementation in clinical …

Background: The increasing presence of technology in health care has created new
opportunities for patient engagement and with this, an intensified exploration of patient …