Artificial Intelligence to support ethical decision-making for incapacitated patients: a survey among German anesthesiologists and internists.

Journal: BMC medical ethics
PMID: 39026308

Abstract

BACKGROUND: Artificial intelligence (AI) has revolutionized various healthcare domains, where AI algorithms sometimes even outperform human specialists. However, the field of clinical ethics has remained largely untouched by AI advances. This study explores the attitudes of anesthesiologists and internists towards the use of AI-driven preference prediction tools to support ethical decision-making for incapacitated patients.

Authors

  • Lasse Benzinger
    Institute for Ethics, History and Philosophy of Medicine, Hannover Medical School (MHH), Carl-Neuberg-Str. 1, 30625, Hannover, Germany. benzinger.lasse@mh-hannover.de.
  • Jelena Epping
    Department of Medical Sociology, Hannover Medical School (MHH), Carl-Neuberg-Str. 1, Hannover, 30625, Germany.
  • Frank Ursin
    Institute of the History, Philosophy and Ethics of Medicine, Ulm University, Ulm, Germany.
  • Sabine Salloch
    Hannover Medical School.

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