The increasing use of AI in healthcare has sparked debates about responsibility and accountability for AI-related errors. The difficulty in attributing moral responsibility for undesirable outcomes ...

Correspondence to Indira Samantha Elisabeth van der Zande, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, P. O. box 85500, Utrecht, Utrecht 3508 GA, Netherlands ...

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Departments of Pediatrics and Bioethics, Dalhousie University and IWK Health Centre, Halifax, Nova Scotia, Canada Dr C V Fernandez, Departments of Pediatrics and Bioethics, Dalhousie University and ...

In my article, I argued against the view that substitute judgements—whether aided by AI-driven patient preference predictors (P4s) or not—can genuinely respect the autonomy of previously competent ...

Genomic biobanks play a pivotal role in advancing healthcare research, particularly through large-scale initiatives such as the Newborn Genomes Programme (NGP). This report examines the ethical ...

Mitochondrial replacement therapy has been developed in order to prevent the transmission of mitochondrial mutations, yet it raises ethical concerns, particularly regarding the involvement of ...

Predictive tools made possible by advances in machine learning techniques may help clinicians make more accurate decisions about who should be allocated costly therapies, such as immunotherapy, which ...

The suitability of doctors as agents of assisting dying remains debated, although it is common in many jurisdictions, and forms part of the proposed assisted dying legislation for England and Wales.

Some of the most widely accepted arguments in favour of abortion seem to undermine the view that infanticide is impermissible. In this paper, I outline a proposal that addresses this issue, arguing ...

The allocation of scarce healthcare resources inherently involves trade-offs between the interests of ‘visible’ and ‘invisible’ victims (ie, individuals who are aware that they are shortchanged by ...

This paper examines the integration of artificial intelligence (AI) into cancer screening programmes, focusing on the associated equity challenges and resource allocation implications. While AI ...