FUTURE-AI: Best practices for trustworthy AI in medicine

FUTURE-AI is an international, multi-stakeholder initiative for defining and maintaining concrete guidelines that will facilitate the design, development, validation and deployment of trustworthy AI solutions in medicine and healthcare based on six guiding principles: Fairness, Universality, Traceability, Usability, Robustness and Explainability.

1

Fairness

The Fairness principle states that medical AI tools should maintain the same performance across individuals and groups of indiv...

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2

Universality

The Universality principle states that a medical AI tool should be generalisable outside the controlled environment where it wa...

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3

Traceability

The Traceability principle states that medical AI tools should be developed together with mechanisms for documenting and monito...

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4

Usability

The Usability principle states that the end-users should be able to use a medical AI tool to achieve a clinical goal efficientl...

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5

Robustness

The Robustness principle refers to the ability of a medical AI tool to maintain its performance and accuracy under expected or ...

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6

Explainability

The Explainability principle states that medical AI tools should provide clinically meaningful information about the logic behi...

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Future AI

Is your medical AI technology FUTURE-AI ready?

The FUTURE-AI assessment checklist consists of concrete and actionable questions that will guide developers, evaluators and other stakeholders in delivering medical AI tools that are trustworthy and optimised for real-world practice.

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