4 found
  1.  35
    Artificial intelligence and the doctor–patient relationship expanding the paradigm of shared decision making.Giorgia Lorenzini, Laura Arbelaez Ossa, David Martin Shaw & Bernice Simone Elger - 2023 - Bioethics 37 (5):424-429.
    Artificial intelligence (AI) based clinical decision support systems (CDSS) are becoming ever more widespread in healthcare and could play an important role in diagnostic and treatment processes. For this reason, AI‐based CDSS has an impact on the doctor–patient relationship, shaping their decisions with its suggestions. We may be on the verge of a paradigm shift, where the doctor–patient relationship is no longer a dual relationship, but a triad. This paper analyses the role of AI‐based CDSS for shared decision‐making to better (...)
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    Machine learning applications in healthcare and the role of informed consent: Ethical and practical considerations.Giorgia Lorenzini, David Martin Shaw, Laura Arbelaez Ossa & Bernice Simone Elger - forthcoming - Clinical Ethics:147775092210944.
    Informed consent is at the core of the clinical relationship. With the introduction of machine learning in healthcare, the role of informed consent is challenged. This paper addresses the issue of whether patients must be informed about medical ML applications and asked for consent. It aims to expose the discrepancy between ethical and practical considerations, while arguing that this polarization is a false dichotomy: in reality, ethics is applied to specific contexts and situations. Bridging this gap and considering the whole (...)
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    Integrating ethics in AI development: a qualitative study.Laura Arbelaez Ossa, Giorgia Lorenzini, Stephen R. Milford, David Shaw, Bernice S. Elger & Michael Rost - 2024 - BMC Medical Ethics 25 (1):1-11.
    Background While the theoretical benefits and harms of Artificial Intelligence (AI) have been widely discussed in academic literature, empirical evidence remains elusive regarding the practical ethical challenges of developing AI for healthcare. Bridging the gap between theory and practice is an essential step in understanding how to ethically align AI for healthcare. Therefore, this research examines the concerns and challenges perceived by experts in developing ethical AI that addresses the healthcare context and needs. Methods We conducted semi-structured interviews with 41 (...)
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    It takes a pirate to know one: ethical hackers for healthcare cybersecurity.Bernice Simone Elger, David Martin Shaw & Giorgia Lorenzini - 2022 - BMC Medical Ethics 23 (1):1-8.
    Healthcare cybersecurity is increasingly targeted by malicious hackers. This sector has many vulnerabilities and health data is very sensitive and valuable. Consequently, any damage caused by malicious intrusions is particularly alarming. The consequences of these attacks can be enormous and endanger patient care. Amongst the already-implemented cybersecurity measures and the ones that need to be further improved, this paper aims to demonstrate how penetration tests can greatly benefit healthcare cybersecurity. It is already proven that this approach has enforced cybersecurity in (...)
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