Bridging the development-to-implementation gap for AI

As an increasing number of clinical decision-support systems driven by artificial intelligence progress from development to implementation, better guidance on the reporting of human factors and early-stage clinical evaluation is needed. We are honored to be part of the DECIDE-Ai consortium and get a first publication in Nature to announce our work.

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