Journal article
AI-driven decision support systems and epistemic reliance: a qualitative study on obstetricians' and midwives' perspectives on integrating AI-driven CTG into clinical decision making
- Abstract:
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Background: Given that AI-driven decision support systems (AI-DSS) are intended to assist in medical decision making, it is essential that clinicians are willing to incorporate AI-DSS into their practice. This study takes as a case study the use of AI-driven cardiotography (CTG), a type of AI-DSS, in the context of intrapartum care. Focusing on the perspectives of obstetricians and midwives regarding the ethical and trust-related issues of incorporating AI-driven tools in ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 944.0KB, Terms of use)
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- Publisher copy:
- 10.1186/s12910-023-00990-1
Authors
Funding
Bibliographic Details
- Publisher:
- Springer Nature
- Journal:
- BMC Medical Ethics More from this journal
- Volume:
- 25
- Issue:
- 1
- Article number:
- 6
- Place of publication:
- England
- Publication date:
- 2024-01-06
- Acceptance date:
- 2023-11-24
- DOI:
- EISSN:
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1472-6939
- ISSN:
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1472-6939
- Pmid:
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38184595
Item Description
- Language:
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English
- Keywords:
- Pubs id:
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1596537
- Local pid:
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pubs:1596537
- Deposit date:
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2024-02-11
Terms of use
- Copyright holder:
- Dlugatch et al
- Copyright date:
- 2024
- Rights statement:
- © The Author(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Licence:
- CC Attribution (CC BY)
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