24 found
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  1.  38
    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.  54
    Trust me, I’m a researcher!: The role of trust in biomedical research.Angeliki Kerasidou - 2017 - Medicine, Health Care and Philosophy 20 (1):43-50.
    In biomedical research lack of trust is seen as a great threat that can severely jeopardise the whole biomedical research enterprise. Practices, such as informed consent, and also the administrative and regulatory oversight of research in the form of research ethics committees and Institutional Review Boards, are established to ensure the protection of future research subjects and, at the same time, restore public trust in biomedical research. Empirical research also testifies to the role of trust as one of the decisive (...)
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  3.  27
    Sharing whilst caring: solidarity and public trust in a data-driven healthcare system.Ruth Horn & Angeliki Kerasidou - 2020 - BMC Medical Ethics 21 (1):1-7.
    Background In the UK, the solidaristic character of the NHS makes it one of the most trusted public institutions. In recent years, the introduction of data-driven technologies in healthcare has opened up the space for collaborations with private digital companies seeking access to patient data. However, these collaborations appear to challenge the public’s trust in the. Main text In this paper we explore how the opening of the healthcare sector to private digital companies challenges the existing social contract and the (...)
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  4.  30
    Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care.Angeliki Kerasidou, Antoniya Georgieva & Rachel Dlugatch - 2023 - BMC Medical Ethics 24 (1):1-16.
    BackgroundDespite the recognition that developing artificial intelligence (AI) that is trustworthy is necessary for public acceptability and the successful implementation of AI in healthcare contexts, perspectives from key stakeholders are often absent from discourse on the ethical design, development, and deployment of AI. This study explores the perspectives of birth parents and mothers on the introduction of AI-based cardiotocography (CTG) in the context of intrapartum care, focusing on issues pertaining to trust and trustworthiness.MethodsSeventeen semi-structured interviews were conducted with birth parents (...)
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  5.  28
    “I don’t think people are ready to trust these algorithms at face value”: trust and the use of machine learning algorithms in the diagnosis of rare disease.Angeliki Kerasidou, Christoffer Nellåker, Aurelia Sauerbrei, Shirlene Badger & Nina Hallowell - 2022 - BMC Medical Ethics 23 (1):1-14.
    BackgroundAs the use of AI becomes more pervasive, and computerised systems are used in clinical decision-making, the role of trust in, and the trustworthiness of, AI tools will need to be addressed. Using the case of computational phenotyping to support the diagnosis of rare disease in dysmorphology, this paper explores under what conditions we could place trust in medical AI tools, which employ machine learning.MethodsSemi-structured qualitative interviews with stakeholders who design and/or work with computational phenotyping systems. The method of constant (...)
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  6.  34
    AIgorithmic Ethics: A Technically Sweet Solution to a Non-Problem.Aurelia Sauerbrei, Nina Hallowell & Angeliki Kerasidou - 2022 - American Journal of Bioethics 22 (7):28-30.
    In their proof-of-concept study, Meier et al. built an algorithm to aid ethical decision making. In the limitations section of their paper, the authors state a frequently cited ax...
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  7.  26
    Pursuing impact in research: towards an ethical approach.Inger Lise Teig, Michael Dunn, Angeliki Kerasidou & Kristine Bærøe - 2022 - BMC Medical Ethics 23 (1):1-9.
    BackgroundResearch proactively and deliberately aims to bring about specific changes to how societies function and individual lives fare. However, in the ever-expanding field of ethical regulations and guidance for researchers, one ethical consideration seems to have passed under the radar: How should researchers act when pursuing actual, societal changes based on their academic work?Main textWhen researchers engage in the process of bringing about societal impact to tackle local or global challenges important concerns arise: cultural, social and political values and institutions (...)
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  8.  42
    The need for empathetic healthcare systems.Angeliki Kerasidou, Kristine Bærøe, Zackary Berger & Amy E. Caruso Brown - 2021 - Journal of Medical Ethics 47 (12):e27-e27.
    Medicine is not merely a job that requires technical expertise, but a profession concerned with making the best decisions and recommendations with reference to, and in consultation with, the patient. This means that the skill set required for healthcare professionals in order to provide good care is a combination of scientific knowledge, technical aptitude, and affective qualities or virtues such as compassion and empathy.
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  9. Trust and institutions : global health research collaborations.Angeliki Kerasidou - 2021 - In Graeme T. Laurie (ed.), The Cambridge handbook of health research regulation. New York, NY: Cambridge University Press.
     
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  10.  24
    The role of trust in global health research collaborations.Angeliki Kerasidou - 2018 - Bioethics 33 (4):495-501.
    Collaborations in global health research are on the rise because they enhance productivity, facilitate capacity building, accelerate output and make tackling big, multifactorial research questions possible. In this paper, I examine the concepts of trust and reliance in scientific collaborations in general, but also in the particular context of collaborations in global health research between high‐income countries and low‐and‐middle income countries (LMIC). I propose and defend the argument that given the particular characteristics of collaborations and demands of trust relationships, reliance (...)
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  11.  30
    (1 other version)Making space for empathy: supporting doctors in the emotional labour of clinical care.Angeliki Kerasidou & Ruth Horn - forthcoming - Most Recent Articles: Bmc Medical Ethics.
    The academic and medical literature highlights the positive effects of empathy for patient care. Yet, very little attention has been given to the impact of the requirement for empathy on the physicians themsel..
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  12.  41
    The Concept of Dignity and Its Use in End-of-Life Debates in England and France.Ruth Horn & Angeliki Kerasidou - 2016 - Cambridge Quarterly of Healthcare Ethics 25 (3):404-413.
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  13.  31
    Sharing the Knowledge: Sharing Aggregate Genomic Findings with Research Participants in Developing Countries.Angeliki Kerasidou - 2014 - Developing World Bioethics 15 (3):267-274.
    Returning research results to participants is recognised as an obligation that researchers should always try to fulfil. But can we ascribe the same obligation to researchers who conduct genomics research producing only aggregated findings? And what about genomics research conducted in developing countries? This paper considers Beskow's et al. argument that aggregated findings should also be returned to research participants. This recommendation is examined in the context of genomics research conducted in developing countries. The risks and benefits of attempting such (...)
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  14.  33
    Does science need bioethicists? Ethics and science collaboration in biomedical research.Angeliki Kerasidou & Michael Parker - 2014 - Research Ethics 10 (4):214-226.
    Biomedical research is an increasingly multidisciplinary activity bringing together a range of different academic fields and forms of expertise to investigate diseases that are increasingly understood to be complex and multifactorial. Recently the discipline of ethics has been starting to find a place in large-scale biomedical collaborations. In this article we draw from our experience of working with the Malaria Genomic Epidemiology Network and other research projects to reflect upon the integration of ethics into biomedical research. We examine the way (...)
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  15.  26
    Empathy and Efficiency in Healthcare at Times of Austerity.Angeliki Kerasidou - 2019 - Health Care Analysis 27 (3):171-184.
    Efficiency is an important value for all publicly funded healthcare systems. Limited resources need to be used prudently and wisely in order to ensure best possible outcomes and waste avoidance. Since 2010, the drive for efficiency, in the UK, has acquired a new impetus, as the country embarked on an ‘age of austerity’ purportedly to balance its books and reduce national deficit. Although the NHS did not suffer any direct budget cuts, the austerity policies imposed on the welfare system, including (...)
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  16. A practical checklist for return of results from genomic research in the European context.Danya F. Vears, Signe Mežinska, Nina Hallowell, Heidi Beate Hallowell, Bridget Ellul, Therese Haugdahl Nøst, , Berge Solberg, Angeliki Kerasidou, Shona M. Kerr, Michaela Th Mayrhofer, Elizabeth Ormondroyd, Birgitte Wirum Sand & Isabelle Budin-Ljøsne - 2023 - European Journal of Human Genetics 1:1-9.
    An increasing number of European research projects return, or plan to return, individual genomic research results (IRR) to participants. While data access is a data subject’s right under the General Data Protection Regulation (GDPR), and many legal and ethical guidelines allow or require participants to receive personal data generated in research, the practice of returning results is not straightforward and raises several practical and ethical issues. Existing guidelines focusing on return of IRR are mostly project-specific, only discuss which results to (...)
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  17.  38
    Machine Learning in Healthcare: Exceptional Technologies Require Exceptional Ethics.Kristine Bærøe, Maarten Jansen & Angeliki Kerasidou - 2020 - American Journal of Bioethics 20 (11):48-51.
    Char et al. describe an interesting and useful approach in their paper, “Identifying ethical considerations for machine learning healthcare applications.” Their proposed framework, which see...
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  18.  28
    AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians’ and midwives’ perspectives on integrating AI-driven CTG into clinical decision making.Rachel Dlugatch, Antoniya Georgieva & Angeliki Kerasidou - 2024 - BMC Medical Ethics 25 (1):1-11.
    Background Given that AI-driven decision support systems (AI-DSS) are intended to assist in medical decision making, it is essential that clinicians are willing to incorporate AI-DSS into their practice. This study takes as a case study the use of AI-driven cardiotography (CTG), a type of AI-DSS, in the context of intrapartum care. Focusing on the perspectives of obstetricians and midwives regarding the ethical and trust-related issues of incorporating AI-driven tools in their practice, this paper explores the conditions that AI-driven CTG (...)
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  19.  18
    Taking it to the bank: the ethical management of individual findings arising in secondary research.Mackenzie Graham, Nina Hallowell, Berge Solberg, Ari Haukkala, Joanne Holliday, Angeliki Kerasidou, Thomas Littlejohns, Elizabeth Ormondroyd, John-Arne Skolbekken & Marleena Vornanen - 2021 - Journal of Medical Ethics 47 (10):689-696.
    A rapidly growing proportion of health research uses ‘secondary data’: data used for purposes other than those for which it was originally collected. Do researchers using secondary data have an obligation to disclose individual research findings to participants? While the importance of this question has been duly recognised in the context of primary research, it remains largely unexamined in the context of research using secondary data. In this paper, we critically examine the arguments for a moral obligation to disclose individual (...)
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  20.  23
    Austerity, Health and Ethics.Angeliki Kerasidou & Alan Cribb - 2019 - Health Care Analysis 27 (3):153-156.
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  21.  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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  22.  61
    Human embryonic stem cell research: Middle-ground positions and moral compromise.Angeliki Kerasidou - 2016 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 57:167-169.
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  23.  17
    The value of sharing genomic findings with research ethics committees.Angeliki Kerasidou - 2017 - Research Ethics 13 (2):59-64.
    The role of ethics committees is to protect and safeguard the rights and welfare of participants, and promote good research by providing ethical guidance to researchers. In order for ethics committees to fulfil their role and obligations, they need to have adequate understanding of the science and scientific methods used in research. Genomics is a novel and rapidly evolving research field, and identifying the ethical issues raised by it is not straightforward. Limited understanding of, and expertise in, reviewing genomic research (...)
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  24.  13
    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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