A Personalized Patient Preference Predictor for Substituted Judgments in Healthcare: Technically Feasible and Ethically Desirable-Reference-Cited by-同舟云学术

A Personalized Patient Preference Predictor for Substituted Judgments in Healthcare: Technically Feasible and Ethically Desirable

Published:2024-01-16 Issue: Volume: Page:1-14
ISSN:1526-5161
Container-title:The American Journal of Bioethics
language:en
Short-container-title:The American Journal of Bioethics

Author:

Earp Brian D.¹²³^ORCID,Porsdam Mann Sebastian¹,Allen Jemima⁴,Salloch Sabine⁵,Suren Vynn⁶,Jongsma Karin⁷^ORCID,Braun Matthias⁸^ORCID,Wilkinson Dominic¹²⁹¹⁰^ORCID,Sinnott-Armstrong Walter¹¹^ORCID,Rid Annette¹²,Wendler David¹²^ORCID,Savulescu Julian¹²^ORCID

Affiliation:

1. University of Oxford

2. National University of Singapore

3. Yale University and The Hastings Center

4. Monash University

5. Hannover Medical School

6. Independent Researcher

7. Julius Center of the University Medical Center Utrecht

8. University of Bonn

9. John Radcliffe Hospital

10. Murdoch Children’s Research Institute

11. Duke University

12. NIH Clinical Center

Funder

OpenAI

German Research Foundation as part of the CRC1483 EmpkinS

European Research Council as part of ERC Starting Grant SIMTWIN

Clinical Center Department of Bioethics, which is in the Intramural Program of the National Institutes of Health

Singapore Ministry of Health’s National Medical Research Council under its Enablers and Infrastructure Support for Clinical Trials-related Activities Funding Initiative

National University of Singapore under the NUS Start-Up grant

Wellcome Trust

Publisher

Informa UK Limited

Subject

Health Policy,Issues, ethics and legal aspects

Link

https://www.tandfonline.com/doi/pdf/10.1080/15265161.2023.2296402

Reference67 articles.

1. Allen J. B. D. Earp J. J. Koplin and D. Wilkinson. 2023. Consent GPT: Is it ethical to delegate procedural consent to conversational AI? Journal of Medical Ethics . Online ahead of print. doi: 10.1136/jme-2023-109347.

2. Fine-tuning language models to find agreement among humans with diverse preferences;Bakker M.;Advances in Neural Information Processing Systems,2022

3. Benzinger L. J. Epping F. Ursin and S. Salloch. 2023. Artificial Intelligence to support ethical decision-making for incapacitated patients: A survey among German anesthesiologists and internists. Pre-print available at https://www.researchgate.net/publication/374530025.

4. Patients’ Interests in their Family Members’ Well-Being: An Overlooked, Fundamental Consideration within Substituted Judgments

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