10 found
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  1.  47
    Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary?Frank Ursin, Cristian Timmermann & Florian Steger - 2022 - Bioethics 36 (2):143-153.
    Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guidelines, that we have bundled together under the term explicability, aims to reduce the black-box character of machine learning algorithms. The centrality of this element invites reflection on the conceptual relation between explicability and the four bioethical principles. This is important because the application of general ethical (...)
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  2. Levels of explicability for medical artificial intelligence: What do we normatively need and what can we technically reach?Frank Ursin, Felix Lindner, Timo Ropinski, Sabine Salloch & Cristian Timmermann - 2023 - Ethik in der Medizin 35 (2):173-199.
    Definition of the problem The umbrella term “explicability” refers to the reduction of opacity of artificial intelligence (AI) systems. These efforts are challenging for medical AI applications because higher accuracy often comes at the cost of increased opacity. This entails ethical tensions because physicians and patients desire to trace how results are produced without compromising the performance of AI systems. The centrality of explicability within the informed consent process for medical AI systems compels an ethical reflection on the trade-offs. Which (...)
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  3.  42
    Should Artificial Intelligence be used to support clinical ethical decision-making? A systematic review of reasons.Sabine Salloch, Tim Kacprowski, Wolf-Tilo Balke, Frank Ursin & Lasse Benzinger - 2023 - BMC Medical Ethics 24 (1):1-9.
    BackgroundHealthcare providers have to make ethically complex clinical decisions which may be a source of stress. Researchers have recently introduced Artificial Intelligence (AI)-based applications to assist in clinical ethical decision-making. However, the use of such tools is controversial. This review aims to provide a comprehensive overview of the reasons given in the academic literature for and against their use.MethodsPubMed, Web of Science, Philpapers.org and Google Scholar were searched for all relevant publications. The resulting set of publications was title and abstract (...)
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  4.  21
    The birth of the “digital turn” in bioethics?Sabine Salloch & Frank Ursin - 2023 - Bioethics 37 (3):285-291.
    The so‐called “empirical turn” in bioethics gave rise to extensive theoretical and methodological debates and has significantly shaped the research landscape from two decades ago until the present day. Attentive observers of the evolution of the bioethical research field now notice a new trend towards the inclusion of data science methods for the treatment of ethical research questions. This new research domain of “digital bioethics” encompasses both studies replacing (or complementing) socio‐empirical research on bioethical topics (“empirical digital bioethics”) and argumentative (...)
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  5. Conflicting Aims and Values in the Application of Smart Sensors in Geriatric Rehabilitation: Ethical Analysis.Christopher Predel, Cristian Timmermann, Frank Ursin, Marcin Orzechowski, Timo Ropinski & Florian Steger - 2022 - JMIR mHealth and uHealth 10 (6):e32910.
    Background: Smart sensors have been developed as diagnostic tools for rehabilitation to cover an increasing number of geriatric patients. They promise to enable an objective assessment of complex movement patterns. -/- Objective: This research aimed to identify and analyze the conflicting ethical values associated with smart sensors in geriatric rehabilitation and provide ethical guidance on the best use of smart sensors to all stakeholders, including technology developers, health professionals, patients, and health authorities. -/- Methods: On the basis of a systematic (...)
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  6. Ethical Implications of Alzheimer’s Disease Prediction in Asymptomatic Individuals Through Artificial Intelligence.Frank Ursin, Cristian Timmermann & Florian Steger - 2021 - Diagnostics 11 (3):440.
    Biomarker-based predictive tests for subjectively asymptomatic Alzheimer’s disease (AD) are utilized in research today. Novel applications of artificial intelligence (AI) promise to predict the onset of AD several years in advance without determining biomarker thresholds. Until now, little attention has been paid to the new ethical challenges that AI brings to the early diagnosis in asymptomatic individuals, beyond contributing to research purposes, when we still lack adequate treatment. The aim of this paper is to explore the ethical arguments put forward (...)
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  7.  7
    Optimizing the PHERCC Matrix for Risk Communication: Integrating Action-Guiding Models for Enhanced Accessibility and Applicability.Pranab Rudra & Frank Ursin - 2024 - American Journal of Bioethics 24 (4):89-91.
    Spitale, Germani, and Biller-Andorno (2024) have proposed a comprehensive framework for navigating the ethical dilemmas associated with risk and crisis communication (RCC) during public health emer...
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  8. Aligning Patient’s Ideas of a Good Life with Medically Indicated Therapies in Geriatric Rehabilitation Using Smart Sensors.Cristian Timmermann, Frank Ursin, Christopher Predel & Florian Steger - 2021 - Sensors 21 (24):8479.
    New technologies such as smart sensors improve rehabilitation processes and thereby increase older adults’ capabilities to participate in social life, leading to direct physical and mental health benefits. Wearable smart sensors for home use have the additional advantage of monitoring day-to-day activities and thereby identifying rehabilitation progress and needs. However, identifying and selecting rehabilitation priorities is ethically challenging because physicians, therapists, and caregivers may impose their own personal values leading to paternalism. Therefore, we develop a discussion template consisting of a (...)
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  9. Diagnosing Diabetic Retinopathy With Artificial Intelligence: What Information Should Be Included to Ensure Ethical Informed Consent?Frank Ursin, Cristian Timmermann, Marcin Orzechowski & Florian Steger - 2021 - Frontiers in Medicine 8:695217.
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  10.  8
    Digitalisierung, Daten und KI in Medizin und Pflege. Virtuelles Nachwuchskolloquium des „Netzwerks Junge Medizinethik“.Philipp Karschuck, Svenja Wiertz, Frank Ursin, Wenke Liedtke, Kris Vera Hartmann & Florian Funer - 2021 - Ethik in der Medizin 33 (3):415-420.
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