Patients' Views on AI for Risk Prediction in Shared Decision-Making for Knee Replacement Surgery: Qualitative Interview Study.

Background: The use of artificial intelligence (AI) in decision-making around knee replacement surgery is increasing, and this technology holds promise to improve the prediction of patient outcomes. Ambiguity surrounds the definition of AI, and there are mixed views on its application in clinical settings.

Objective: In this study, we aimed to explore the understanding and attitudes of patients who underwent knee replacement surgery regarding AI in the context of risk prediction for shared clinical decision-making.

Research Buddy partnership in a MD-PhD program: lessons learned.

Background And Aims: There is increasing recognition of the importance of patient involvement in research. In recent years, there has also been growing interest in patient partnerships with doctoral studies students. However, it can be difficult to know where to start and how to go about such involvement activities.

Embedding consumer and community involvement within an established research centre: moving from general recommendations to an actionable framework.

Plain English Summary: Involving consumers and community members in the research process is an important step towards developing and delivering effective, person-centered health care. The National Health and Medical Research Council have provided recommendations for involving consumers and community members in research; however, definitive actions to implement these are not well defined.To address this, an established research centre in Melbourne, Australia, has developed a consumer and community involvement framework to incorporate the national recommendations into their research program.