Artificial intelligence (AI) is emerging as a promising tool in healthcare, with potential to revolutionize clinical practice through assistive and autonomous operations. In cardiovascular medicine, AI offers opportunities to improve healthcare efficiency and patient outcomes, particularly given the high prevalence of cardiac disease globally. However, the deployment of AI in healthcare raises significant ethical challenges, including data privacy, consent, sustainability, and cybersecurity. This review explores the ethical considerations necessary for the safe and acceptable implementation of AI in cardiovascular medicine, highlighting challenges such as data privacy, consent, sustainability, and cybersecurity, as well as future opportunities for AI use in this field. The article argues that AI deployment requires robust regulation, transparent algorithms, and safeguarding of patient privacy. AI has the potential to revolutionize healthcare, but its use raises ethical concerns. The development of AI has led to both excitement and apprehension, with concerns about machines controlling human affairs and freedom. Recent calls for a moratorium on AI development have been made to allow public discourse and rigorous regulation. The article discusses the ethical considerations for applying AI to cardiovascular medicine, explores potential ethical challenges, and details future opportunities in this field. Key ethical considerations include ensuring AI does not result in physical or mental harm, protecting patient privacy, and ensuring transparency and explainability of AI systems. Developers, users, and regulators have a responsibility to adhere to ethical principles in the development, deployment, and ongoing assessment of AI in healthcare. The bioethical principles of beneficence, nonmaleficence, autonomy, and justice are central to the ethical challenges of AI in cardiovascular medicine. AI can be used to improve diagnostic accuracy, predict cardiovascular risk, and assist in tailoring management plans. However, there are concerns about the potential for bias in AI algorithms, which can lead to over- or underestimation of risk and inappropriate testing. Additionally, AI systems must be transparent and explainable to ensure trust and accountability. The article also discusses the importance of patient consent, the need for robust data protection laws, and the potential for AI to be used in a way that is equitable and accessible to all populations. The article highlights the importance of balancing safety, accuracy, and efficacy in the deployment of AI systems. It also discusses the potential for AI to be used in clinical decision-making, with the need for human oversight and responsibility. The article concludes that AI has the potential to improve healthcare outcomes, but its use must be carefully regulated to ensure ethical and responsible implementation.Artificial intelligence (AI) is emerging as a promising tool in healthcare, with potential to revolutionize clinical practice through assistive and autonomous operations. In cardiovascular medicine, AI offers opportunities to improve healthcare efficiency and patient outcomes, particularly given the high prevalence of cardiac disease globally. However, the deployment of AI in healthcare raises significant ethical challenges, including data privacy, consent, sustainability, and cybersecurity. This review explores the ethical considerations necessary for the safe and acceptable implementation of AI in cardiovascular medicine, highlighting challenges such as data privacy, consent, sustainability, and cybersecurity, as well as future opportunities for AI use in this field. The article argues that AI deployment requires robust regulation, transparent algorithms, and safeguarding of patient privacy. AI has the potential to revolutionize healthcare, but its use raises ethical concerns. The development of AI has led to both excitement and apprehension, with concerns about machines controlling human affairs and freedom. Recent calls for a moratorium on AI development have been made to allow public discourse and rigorous regulation. The article discusses the ethical considerations for applying AI to cardiovascular medicine, explores potential ethical challenges, and details future opportunities in this field. Key ethical considerations include ensuring AI does not result in physical or mental harm, protecting patient privacy, and ensuring transparency and explainability of AI systems. Developers, users, and regulators have a responsibility to adhere to ethical principles in the development, deployment, and ongoing assessment of AI in healthcare. The bioethical principles of beneficence, nonmaleficence, autonomy, and justice are central to the ethical challenges of AI in cardiovascular medicine. AI can be used to improve diagnostic accuracy, predict cardiovascular risk, and assist in tailoring management plans. However, there are concerns about the potential for bias in AI algorithms, which can lead to over- or underestimation of risk and inappropriate testing. Additionally, AI systems must be transparent and explainable to ensure trust and accountability. The article also discusses the importance of patient consent, the need for robust data protection laws, and the potential for AI to be used in a way that is equitable and accessible to all populations. The article highlights the importance of balancing safety, accuracy, and efficacy in the deployment of AI systems. It also discusses the potential for AI to be used in clinical decision-making, with the need for human oversight and responsibility. The article concludes that AI has the potential to improve healthcare outcomes, but its use must be carefully regulated to ensure ethical and responsible implementation.