Artificial intelligence is revolutionizing healthcare through advanced diagnostic capabilities, personalized treatment recommendations, and workflow optimization. However, this transformation introduces significant ethical considerations, especially regarding its impact on the doctor-patient relationship. As AI systems become integral to clinical decision-making, traditional dynamics of trust, transparency, and human judgment face unprecedented challenges. This article examines the ethical dimensions of healthcare AI implementation, exploring how to maintain the human elements of care while leveraging technological benefits. It addresses key concerns, including algorithmic transparency, accountability frameworks, bias mitigation, and preservation of patient autonomy. Examining initiatives at leading healthcare institutions, the article offers practical guidance for implementing AI systems while safeguarding the essential human connections that define quality healthcare. The discussion emphasizes that successful integration requires balancing technical capabilities with interpersonal aspects of care. In a healthcare environment increasingly shaped by algorithms, reaffirming trust as a central tenet is not just desirable—it is essential for preserving the moral fabric of medical care.
Keywords: Accountability, Artificial Intelligence, Ethics, algorithmic bias, patient autonomy
