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  1.  39
    Before and beyond trust: reliance in medical AI.Charalampia Kerasidou, Angeliki Kerasidou, Monika Buscher & Stephen Wilkinson - 2021 - Journal of Medical Ethics 48 (11):852-856.
    Artificial intelligence is changing healthcare and the practice of medicine as data-driven science and machine-learning technologies, in particular, are contributing to a variety of medical and clinical tasks. Such advancements have also raised many questions, especially about public trust. As a response to these concerns there has been a concentrated effort from public bodies, policy-makers and technology companies leading the way in AI to address what is identified as a "public trust deficit". This paper argues that a focus on trust (...)
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  2.  22
    Machine learning models, trusted research environments and UK health data: ensuring a safe and beneficial future for AI development in healthcare.Charalampia Kerasidou, Maeve Malone, Angela Daly & Francesco Tava - 2023 - Journal of Medical Ethics 49 (12):838-843.
    Digitalisation of health and the use of health data in artificial intelligence, and machine learning (ML), including for applications that will then in turn be used in healthcare are major themes permeating current UK and other countries’ healthcare systems and policies. Obtaining rich and representative data is key for robust ML development, and UK health data sets are particularly attractive sources for this. However, ensuring that such research and development is in the public interest, produces public benefit and preserves privacy (...)
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  3.  9
    Correction to: Data-driven research and healthcare: public trust, data governance and the NHS.Charalampia Kerasidou & Angeliki Kerasidou - 2023 - BMC Medical Ethics 24 (1):1-1.
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    Data-driven research and healthcare: public trust, data governance and the NHS. [REVIEW]Charalampia Kerasidou & Angeliki Kerasidou - 2023 - BMC Medical Ethics 24 (1):1-9.
    It is widely acknowledged that trust plays an important role for the acceptability of data sharing practices in research and healthcare, and for the adoption of new health technologies such as AI. Yet there is reported distrust in this domain. Although in the UK, the NHS is one of the most trusted public institutions, public trust does not appear to accompany its data sharing practices for research and innovation, specifically with the private sector, that have been introduced in recent years. (...)
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