The National Institutes of Health (NIH) with the NIH Common Fund plans to invest in an AI project that will integrate clinical imaging with other health data types to create clinical decision support (CDS) tools.
Called Precision Medicine with Artificial Intelligence-Integrating Imaging with Multimodal Data (PRIMED-AI), the program seeks to accelerate translation of AI-enabled, image-based, multimodal CDS tools into practical clinical use, according to the NIH.
One of PRIMED-AI's objectives is a "playbook initiative" that involves developing and testing discrete projects that deliver frameworks for responsible use of PRIMED-AI models, error mitigation and technical management of data and algorithms, data ontology and linkage, and preparation for regulatory approval.
Further, the project aims to generate a validation framework for rigorous, impartial assessment of the overall dependability of AI models developed across the PRIMED-AI ecosystem and beyond.
PRIMED-AI is in its early stages, and a notice of funding (UG3) opportunity is coming, NIH said in a September update. Investigators with expertise and insights into AI-driven integration of clinical imaging with other complex and multiscale health data are encouraged to consider applying.
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