The integration of artificial intelligence (AI) into healthcare systems presents significant opportunities to transform patient care, optimise resources, and advance education. However, the ethical implications of AI deployment demand equal scrutiny. This chapter provides a comprehensive examination of the ethical dimensions of AI-enabled healthcare, using both principled biomedical ethics and normative moral theories. The four foundational pillars (beneficence, non-maleficence, autonomy, and justice) are critically applied to areas such as data governance, algorithmic bias, patient consent, transparency, and accountability. Normative frameworks, including deontology, utilitarianism, and virtue ethics, further contextualise AI’s moral challenges in clinical settings. Real-world applications are explored across diverse environments, including telemedicine, medical education, low-resource contexts, and space medicine, highlighting the nuanced ethical requirements of adaptability, inclusivity, and cultural sensitivity. The chapter also evaluates current regulatory frameworks and policy landscapes across global jurisdictions, identifying key gaps and offering recommendations for future-proof, ethically sound AI governance. Emphasising interdependency between ethical principles, the chapter argues for dynamic, collaborative, and patient-centred approaches to AI development. Ethical challenges are reframed not as barriers but as imperatives for innovation aligned with human dignity, societal equity, and professional integrity in an increasingly digital healthcare landscape.