FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
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- dc.contributor.author Lekadir, Karim, 1977-
- dc.contributor.author Fromont, Lauren A.
- dc.contributor.author FUTURE-AI Consortium
- dc.date.accessioned 2025-03-24T07:15:56Z
- dc.date.available 2025-03-24T07:15:56Z
- dc.date.issued 2025
- dc.description.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.
- dc.description.sponsorship Funding for this work was provided by the European Union’s Horizon 2020 under grant agreement No 952103 (EuCanImage). The funders had no role in considering the study design or in the collection, analysis, interpretation of data, writing of the report, or decision to submit the article for publication.
- dc.format.mimetype application/pdf
- dc.identifier.citation Lekadir K, Frangi AF, Porras AR, Glocker B, Cintas C, Langlotz CP, et al. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare. BMJ. 2025 Feb 5;388:e081554. DOI: 10.1136/bmj-2024-081554
- dc.identifier.doi http://dx.doi.org/10.1136/bmj-2024-081554
- dc.identifier.issn 0959-8138
- dc.identifier.uri http://hdl.handle.net/10230/69995
- dc.language.iso eng
- dc.publisher BMJ Publishing Group
- dc.relation.ispartof BMJ. 2025 Feb 5;388:e081554
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/952103
- dc.rights 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/.
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
- dc.subject.other Intel·ligència artificial--Aplicacions a la medicina
- dc.title FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion