The Patient Beyond the Dataset: Levinas, Magnifica Humanitas, and the Principle of Non-totalization in AI Healthcare in the Philippines.

Algorithmic Moral Burden: Pope Leo XIV, Conscience, and Professional Agency in AI-Supported Philippine Healthcare.

The article introduces algorithmic moral burden as a sociotechnical and ethical condition requiring the conjunction of meaningful AI influence, continuing professional answerability, and constrained evaluative authority.

Artificial intelligence and bioethics: human dignity, autonomy and responsibility in contemporary medicine

It is concluded that artificial intelligence, while enhancing diagnostic accuracy and operational efficiency, is incapable of replicating the moral clinical judgment, empathy and acceptance of vulnerability intrinsic to the physician-patient relationship.

Beyond Autonomy: Ethical Considerations of AI in Substitute Decision-Making for Incapacitated Patients.

BACKGROUND The integration of artificial intelligence (AI) into healthcare offers significant potential for enhancing patient care, particularly for incapacitated patients unable to communicate their preferences. Advanced AI systems, such as Personalized Patient Preference Predictors (P4), are increasingly proposed as...

The Incarnate Clinic: Pope Leo XIV's Magnifica Humanitas, AI Optimization, and the Bioethics of Technological Colonialism in Philippine Healthcare.

Algorithmic gaslighting in healthcare: mechanisms, harms, and epistemic injustice in context

Algorithmic systems are increasingly woven into healthcare, from triage applications to AI-enabled decision support tools. While such systems promise efficiency and diagnostic accuracy, they also perform a normative function: shaping whose knowledge is treated as credible, which symptoms matter, and how patient testimo...

Beyond Medical Malpractice: AI, Clinical Decision-Making, and the Transformation of Health Law

Artificial intelligence (AI) is transforming clinical decision making, and has seriously undermined the traditional medical-malpractice regimes that place the lion's share of blame on doctors. This study explores the implications of clinical decisions with AI: who is liable, informed consent, standards of care, explain...