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  1. On the ethics of algorithmic decision-making in healthcare.Thomas Grote & Philipp Berens - 2020 - Journal of Medical Ethics 46 (3):205-211.
    In recent years, a plethora of high-profile scientific publications has been reporting about machine learning algorithms outperforming clinicians in medical diagnosis or treatment recommendations. This has spiked interest in deploying relevant algorithms with the aim of enhancing decision-making in healthcare. In this paper, we argue that instead of straightforwardly enhancing the decision-making capabilities of clinicians and healthcare institutions, deploying machines learning algorithms entails trade-offs at the epistemic and the normative level. Whereas involving machine learning might improve the accuracy of medical (...)
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    How competitors become collaborators—Bridging the gap(s) between machine learning algorithms and clinicians.Thomas Grote & Philipp Berens - 2021 - Bioethics 36 (2):134-142.
    Bioethics, Volume 36, Issue 2, Page 134-142, February 2022.
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    Uncertainty, Evidence, and the Integration of Machine Learning into Medical Practice.Thomas Grote & Philipp Berens - 2023 - Journal of Medicine and Philosophy 48 (1):84-97.
    In light of recent advances in machine learning for medical applications, the automation of medical diagnostics is imminent. That said, before machine learning algorithms find their way into clinical practice, various problems at the epistemic level need to be overcome. In this paper, we discuss different sources of uncertainty arising for clinicians trying to evaluate the trustworthiness of algorithmic evidence when making diagnostic judgments. Thereby, we examine many of the limitations of current machine learning algorithms (with deep learning in particular) (...)
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    A paradigm shift?—On the ethics of medical large language models.Thomas Grote & Philipp Berens - 2024 - Bioethics 38 (5):383-390.
    After a wave of breakthroughs in image‐based medical diagnostics and risk prediction models, machine learning (ML) has turned into a normal science. However, prominent researchers are claiming that another paradigm shift in medical ML is imminent—due to most recent staggering successes of large language models—from single‐purpose applications toward generalist models, driven by natural language. This article investigates the implications of this paradigm shift for the ethical debate. Focusing on issues like trust, transparency, threats of patient autonomy, responsibility issues in the (...)
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  5. Der schwarze Träumer.Philipp Berens - 1992 - Cinema 7:28.
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