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TRUVACE RECORD VERSION
record: TRV-2026-0540
version: 2
kind: revised
reason: Direction audit: the gain line described the method, not an outcome; restated as the finding.
timestamp: 2026-10-26T06:39:00.974757Z
status: published
lens: p_space
sector: health
headline: FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
dek: 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…
gain_title: (none)
problem_title: Deployment of AI in clinical practice has remained limited despite research advances, which prompted the FUTURE-AI guideline.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: Deployment of AI in clinical practice has remained limited despite research advances, which prompted the FUTURE-AI guideline.
problem_evidence: provides guidance for the development and deployment of trustworthy AI tools in healthcare | a set of 30 best practices were defined, addressing technical, clinical, socioethical, and legal dimensions
quick_read: Despite advances in AI research for healthcare, deployment in clinical practice has remained limited. To address this, the FUTURE-AI Consortium developed an international consensus guideline published February 5, 2025, defining six guiding principles and 30 best practices for trustworthy and deployable AI tools.

The framework matters because it moves beyond technical performance to include clinical, socioethical, and legal requirements across the entire AI lifecycle. What remains uncertain is whether adoption of these practices will translate into increased real-world deployment and improved patient outcomes, which the source does not yet measure.
limitation: 
tag: Evidence-backed problem
key_points: FUTURE-AI Consortium founded in 2021 comprises 117 interdisciplinary experts from 50 countries representing all continents | Guideline built over two year period through consensus based on six principles: fairness, universality, traceability, usability, robustness, and explainability | 30 best practices address technical, clinical, socioethical, and legal dimensions across full lifecycle from design to monitoring
rundown: The FUTURE-AI Consortium was founded in 2021 and includes 117 experts from 50 countries across all continents, including AI scientists, clinical researchers, biomedical ethicists, and social scientists.

The guideline was established over a two year period through consensus and operationalizes trustworthiness via 30 best practices covering design, development, validation, regulation, deployment, and monitoring.
sources:
- peer_reviewed | BMJ | https://doi.org/10.1136/bmj-2024-081554 | 2025-02-05
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