FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
FUTURE-AI: международное консенсусное руководство по надежному и пригодному для внедрения искусственному интеллекту в здравоохранении
2025-02-05
SCID: 54.1/ayr8nwjb
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Abstract (AI)
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.
Key Findings
1
FUTURE-AI is structured around six principles: fairness, universality, traceability, usability, robustness, and explainability.
2
The FUTURE-AI framework provides international guidance for developing and deploying trustworthy, clinically deployable artificial intelligence in healthcare.
3
The guideline was developed through a two-year consensus process involving 117 interdisciplinary experts from 50 countries across all continents.
4
The recommendations address the complete healthcare AI lifecycle, including design, development, validation, regulation, deployment, and monitoring.
5
Thirty best practices operationalize trustworthy healthcare AI across technical, clinical, socioethical, and legal dimensions.
Research Object
AI technologies and tools in healthcare
Research Subject
trustworthy and deployable AI development and deployment across the healthcare AI lifecycle
Publication Details
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2025-02-05
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