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            Klinische Entscheidungsfindung mit Künstlicher Intelligenz

            Ein interdisziplinärer Governance-Ansatz

            Thumbnail
            Author(s)
            Samhammer, David
            Beck, Susanne
            Budde, Klemens
            Burchardt, Aljoscha
            Faber, Michelle
            Gerndt, Simon
            Möller, Sebastian
            Osmanodja, Bilgin
            Roller, Roland
            Dabrock, Peter
            Language
            German
            Show full item record
            Abstract
            ​Dieses Open-Access-essential schafft Orientierung, wenn Künstliche Intelligenz im klinischen Alltag eingesetzt wird. Die Herausforderungen werden anhand zweier Beispiele aus dem Bereich der Nephrologie erläutert, die ethisch und rechtlich reflektiert werden. Ein umfangreicher Empfehlungsteil schließt diesen durchweg interdisziplinär erarbeiteten Band ab.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/160415
            Keywords
            Künstliche Intelligenz; Maschinelles Lernen; Medizin; Klinik; Entscheidungsfindung; Meaningful Human Control; Bedeutsame menschliche Kontrolle; Governance; Medizinische Unterstützungssysteme; thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine; thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCV Economics of specific sectors::KCVJ Health economics; thema EDItEUR::M Medicine and Nursing::MQ Nursing and ancillary services::MQC Nursing; thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDT Topics in philosophy::QDTQ Ethics and moral philosophy; thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJR Renal medicine and nephrology
            DOI
            10.1007/978-3-662-67008-8
            ISBN
            9783662670088, 9783662670071
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Berlin, Heidelberg, 2023
            Imprint
            Springer Berlin Heidelberg
            Series
            essentials,
            Pages
            66
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              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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