Model-to-Clinic (M2C) for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI)
Funds the move of an imaging-centred multimodal AI tool from a trained and tested prototype towards real clinical use, as regulated device software.
A model that performs well on held-out data is not a clinical tool. This notice funds the distance between those two things.
The starting point is explicit: an AI-enabled, image-centred, multimodal clinical decision support tool, developed as Software as a Medical Device, that has already been through training and testing as a prototype. That prototype has to exist before applying.
The destinati…
Phased translation of AI-enabled, image-centred, multimodal clinical decision support tools developed as Software as a Medical Device, from trained and tested prototypes towards clinical applications addressing unmet precision medicine challenges, with high potential for demonstrable positive impact on patient outcomes or healthcare processes. Clinical trials are optional.
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