AI in Telehealth for Cardiac Care: A Literature Review

dc.contributor.advisorLi, lifu
dc.contributor.authorAlzahrani, Amwaj
dc.date.accessioned2024-12-18T19:00:33Z
dc.date.issued2024-03
dc.description.abstractThis literature review investigates the integration of artificial intelligence (AI) in telehealth, with a specific focus on its applications in cardiac care. The review explores how AI enhances remote patient monitoring, facilitates personalized treatment plans, and improves healthcare accessibility for patients with cardiac conditions. AI-driven tools, such as wearable devices and implantable medical devices, have demonstrated significant potential in tracking critical health parameters, enabling timely interventions, and fostering proactive patient care. Additionally, AI-powered chatbots and telehealth platforms provide patients with real-time support and guidance, enhancing engagement and adherence to treatment regimens. The findings reveal that AI contributes to improving healthcare outcomes by enabling early detection of cardiac events, tailoring treatment plans to individual patient needs, and expanding access to care for underserved populations. However, the integration of AI in telehealth is not without challenges. Ethical considerations, such as ensuring data privacy, managing biases in AI algorithms, and addressing regulatory complexities, emerge as critical areas requiring attention. Furthermore, technological limitations, including the need for robust validation and patient acceptance of AI technologies, underscore the importance of bridging the gap between research and real-world implementation. This review also examines future trends, including the integration of blockchain technology with AI to enhance data security and privacy in telehealth systems. Advancements in machine learning and the Internet of Things (IoT) are paving the way for innovative solutions, such as secure remote monitoring and personalized rehabilitation programs. While AI holds transformative potential in revolutionizing telehealth services for cardiac patients, addressing these challenges is imperative to ensure equitable, effective, and patient-centered care. This review underscores the need for interdisciplinary collaboration and regulatory oversight to unlock the full potential of AI in telehealth and improve outcomes for cardiac patients globally.
dc.format.extent15
dc.identifier.urihttps://hdl.handle.net/20.500.14154/74339
dc.language.isoen
dc.publisherUniversity of technology sydney
dc.subjectArtificial Intelligence
dc.subjectTelehealth
dc.subjectCardiac Care
dc.subjectRemote Monitoring
dc.subjectPersonalized Healthcare
dc.titleAI in Telehealth for Cardiac Care: A Literature Review
dc.typeThesis
sdl.degree.departmentFaculty of Engineering and Information Technology
sdl.degree.disciplineMaster of information Technology -Business Information Systems
sdl.degree.grantorUniversity of technology sydney
sdl.degree.nameMaster of information Technology
sdl.thesis.sourceSACM - Australia

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