It is argued that uncertainty in medicine is a multidimensional feature of practice rather than a single informational deficit that technology can progressively eliminate, and five principles for responsible integration are proposed: complementarity, proportionality, accountability, fairness, and human-centred care.
It is concluded that artificial intelligence constitutes a strategic tool for improving the quality of intensive care, but it does not replace clinical judgment or the ethical centrality of the patient, requiring a balanced integration of technological innovation, patient safety, adequate regulation, and respect for hu...
Antônia Bárbara Barbosa Silva, Décio Oliveira dos Santos, Isabela Molínero de Paula et al.· Revista de Estudos Interdisc...· 0 citations
This review addresses the primary ethical principles relevant to AI in medicine - including respect for patient autonomy, beneficence, non-maleficence, and justice - alongside key legal frameworks with respect to liability, data protection, regulatory compliance, and algorithmic transparency.
Sebastian Schleidgen, O. Friedrich· European journal of internal...· 0 citations
Artificial intelligence (AI) is moving rapidly from retrospective prediction and image analysis into treatment selection, operative planning, intraoperative guidance, and postoperative prognostication in cardiothoracic surgery. This transition raises an ethical problem that cannot be resolved by model accuracy alone: w...
Vasileios Leivaditis, F. Mulita, V. Androutsopoulou et al.· Medical Science· 0 citations
This paper distinguishes technical reliability from trust in AI-supported clinical decision-making, arguing that the two belong to distinct registers that current debates tend to elide and proposes replacing the expression "trustworthy AI" with "technically reliable AI," a distinction that relocates the conditions of t...
Miranda Boldrini, Damien Lacroux, Marie-Sophie von Braun et al.· AI and Ethics· 0 citations
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