FUTURE-AI: international consensus guideline for trustworthy and deployable artifcial intelligence in healthcare
Author
Date
2025-02-05Permanent link
http://hdl.handle.net/11351/13060DOI
10.1136/bmj-2024-081554
ISSN
0959-8138
PMID
39909534
Abstract
Despite major advances in artifcial
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 defned, 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.
Keywords
Artificial intelligence; HealthcareBibliographic 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.
Audience
Professionals
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