The new publication in The BMJ—FUTURE-AI: International Consensus Guideline for Trustworthy and Deployable Artificial Intelligence in Healthcare—introduces a comprehensive framework designed to guide the development and deployment of AI tools in healthcare settings. The framework, known as FUTURE-AI, was developed through a global collaboration of 117 interdisciplinary experts from 50 countries, encompassing AI scientists, clinicians, ethicists, and social scientists.
Source: Lekadir K, Frangi A F, Porras A R, Glocker B, Cintas C, Langlotz C P et al. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare. BMJ. 2025;388:e081554. doi:10.1136/bmj-2024-081554
FUTURE-AI is structured around six core principles: Fairness, Universality, Traceability, Usability, Robustness, and Explainability. These principles are operationalised through 30 best practices that address technical, clinical, socioethical, and legal dimensions, covering the entire lifecycle of healthcare AI—from design and development to regulation and monitoring.
The EuCanImage project played a crucial role in the development of these guidelines. As part of the AI for Health Imaging (AI4HI) network, EuCanImage contributed practical insights and expertise, particularly in the areas of data interoperability, ethical considerations, and regulatory compliance.
EuCanImage’s involvement ensured that the FUTURE-AI framework was grounded in real-world applications, emphasizing the importance of building AI tools that are transparent, inclusive, and clinically meaningful. The project’s contributions have been instrumental in shaping guidelines that are expected to influence policy, certification, and funding criteria across Europe and beyond.
For more detailed information, you can access the full BMJ article here.
