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AI support for ethical decision-making around resuscitation: proceed with care

Date

Date

Date
2020
Working Paper

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Biller-Andorno, N., Ferrario, A., Joebges, S., Krones, T., Massini, F., Barth, P., Arampatzis, G., & Krauthammer, M. (2020). AI support for ethical decision-making around resuscitation: proceed with care (No. 20171769; MedRxiv). https://doi.org/10.1101/2020.08.17.20171769

Abstract

Abstract

Abstract

Artificial intelligence (AI) systems are increasingly being used in healthcare, thanks to the high level of performance that these systems have proven to deliver. So far, clinical applications have focused on diagnosis and on prediction of outcomes. It is less clear in what way AI can or should support complex clinical decisions that crucially depend on patient preferences. In this paper, we focus on the ethical questions arising from the design, development and deployment of AI systems to support decision-making around cardio-pulmona

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Acq. date: 2025-11-12

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medRxiv

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Institution

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Working Paper

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English

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2020-08-17

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2021-01-26

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0959-535X

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Green

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5 since deposited on 2021-01-26
Acq. date: 2025-11-12

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1 since deposited on 2021-01-26
Acq. date: 2025-11-12

Citations

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Citation copied

Biller-Andorno, N., Ferrario, A., Joebges, S., Krones, T., Massini, F., Barth, P., Arampatzis, G., & Krauthammer, M. (2020). AI support for ethical decision-making around resuscitation: proceed with care (No. 20171769; MedRxiv). https://doi.org/10.1101/2020.08.17.20171769

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