Journal article
FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
- Abstract:
- Despite major advances in artificial intelligence (AI) research for healthcare, the deployment and adoption of AI technologies remain limited in clinical practice. This paper describes the FUTURE-AI framework, which provides guidance for the development and deployment of trustworthy AI tools in healthcare. The FUTURE-AI Consortium was founded in 2021 and comprises 117 interdisciplinary experts from 50 countries representing all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists. Over a two year period, the FUTURE-AI guideline was established through consensus based on six guiding principles—fairness, universality, traceability, usability, robustness, and explainability. To operationalise trustworthy AI in healthcare, a set of 30 best practices were defined, addressing technical, clinical, socioethical, and legal dimensions. The recommendations cover the entire lifecycle of healthcare AI, from design, development, and validation to regulation, deployment, and monitoring.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 683.7KB, Terms of use)
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- Publisher copy:
- 10.1136/bmj-2024-081554
Authors
+ European Commission
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- Funder identifier:
- https://ror.org/00k4n6c32
- Grant:
- 101034347
+ Cancer Research UK
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- Funder identifier:
- https://ror.org/054225q67
- Grant:
- 27294
- Publisher:
- BMJ Publishing Group
- Journal:
- British Medical Journal More from this journal
- Volume:
- 388
- Article number:
- e081554
- Place of publication:
- England
- Publication date:
- 2025-02-05
- Acceptance date:
- 2025-01-10
- DOI:
- EISSN:
-
0959-8138
- ISSN:
-
1759-2151
- Pmid:
-
39909534
- Language:
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English
- Keywords:
- Pubs id:
-
2084614
- Local pid:
-
pubs:2084614
- Deposit date:
-
2025-03-17
- ARK identifier:
Terms of use
- Copyright date:
- 2025
- Rights statement:
- This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
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