Abstract
With Artificial Intelligence (AI) technology advancing at a breathtaking speed – nearing application stage in many fields of medicine – the need for regulation ensuring quality, utility and security of the emerging AI-based clinical decision support systems becomes increasingly pressing. Here, we suggest a conceptual framework from which to derive requirements for building, validating, deploying, and managing AI-based systems in daily clinical practice.
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