Harnessing Artificial Intelligence in Cardiac rehabilitation: a Systematic Review
Sara Sotirakos, Basem Fouda, Noor Adeebah Mohamed Razif, Niall Cribben, Cormac Mulhall, Aisling O’Byrne, Bridget Moran, Ruairi Connolly
Abstract
Aim: This systematic review aims to evaluate the current body of research surrounding the efficacy of artificial intelligence (AI) in cardiac rehabilitation. Presently, AI can be incorporated into personal devices such as smart watches and smartphones, in diagnostic and home monitoring devices, as well as in certain inpatient care settings. Materials & methods: The PRISMA guidelines were followed in this review. Inclusion and exclusion criteria were set using the Population, Intervention, Comparison and Outcomes (PICO) tool. Results: Eight studies meeting the inclusion criteria were found. Conclusion: Incorporation of AI into healthcare, cardiac rehabilitation delivery, and monitoring holds great potential for early detection of cardiac events, allowing for home-based monitoring, and improved clinician decision making.