{
  "abstract": "Background Cardiovascular disease (CVD) remains a leading cause of death globally, primarily driven by modifiable lifestyle risk factors. Artificial Intelligence (AI) tools, such as chatbots and virtual assistants, offer a promising approach to improve patient education and self-management. However, their role in CVD prevention and lifestyle behaviour change underexplored.Aim To explore the potential of AI tools in promoting lifestyle behaviour change and mental health among individuals with CVD, and to understand nurses’ perspectives on their integration into care pathways.Methods Following the Appreciative Inquiry 4D Cycle, this study represents the 1 st Phase (Discovery) of a proposed larger project and consists of two components (figure 1):1. A scoping review (currently underway) conducted using Joanna Briggs Institute methodology to systematically map existing literature on the use of AI tools for CVD-related lifestyle behaviour change. The review will explore types of AI tools, behavioural outcomes, evaluation methods, evidence gaps, and directions for future research.2. A qualitative study involving semi-structured interviews with 30 nurses (in training and practice), recruited via universities and professional networks in the United Kingdom (UK). Using the RE-AIM framework, interviews will explore experiences, expectations, and perceived barriers and facilitators to AI adoption in CVD care. Data will be analysed thematically using NVivo.Abstract P27 Figure 1Study flow diagram based on the 4D cycle of appreciative inquiryResults The study will summarise the current evidence base and identify key gaps, particularly related to the real-world usability and implementation challenges of AI tools in supporting lifestyle change for CVD. Findings will inform subsequent phases of research, including the co-design and testing of an AI prototype for CVD lifestyle modification.Conclusion This study will generate foundational insights into the role of AI in cardiovascular risk management and inform the development of a personalised AI tool. Findings from the scoping review and qualitative study will be presented at the conference.",
  "authors": [
    {
      "affiliations": [
        "School of Health and Social Care, Edinburgh Napier University, Sighthill Campus, Sighthill Court, Edinburgh EH11 4BN, UK"
      ],
      "name": "Sahar Khonsari"
    },
    {
      "affiliations": [
        "School of Health and Social Care, Edinburgh Napier University, Sighthill Campus, Sighthill Court, Edinburgh EH11 4BN, UK"
      ],
      "name": "Nicola Rea"
    },
    {
      "affiliations": [
        "School of Health and Social Care, Edinburgh Napier University, Sighthill Campus, Sighthill Court, Edinburgh EH11 4BN, UK"
      ],
      "name": "Coral Hanson"
    },
    {
      "affiliations": [
        "School of Health and Social Care, Edinburgh Napier University, Sighthill Campus, Sighthill Court, Edinburgh EH11 4BN, UK"
      ],
      "name": "Sheona McHale"
    },
    {
      "affiliations": [
        "School of Health and Social Care, Edinburgh Napier University, Sighthill Campus, Sighthill Court, Edinburgh EH11 4BN, UK"
      ],
      "name": "Lis Neubeck"
    }
  ],
  "title": "P27 The role of AI tools in supporting cardiovascular lifestyle behaviour change",
  "uid": "0a4998fb-8245-5782-b271-a2f936fee63c"
}