Development and Testing of a Multi-use Frameworks Playbook for Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) (U01 Clinical Trial Not Allowed)

The National Institutes of Health (NIH) is seeking applications for the development and testing of a multi-use frameworks playbook for precision medicine with artificial intelligence (AI). The goal of the program is to establish the Precision Medicine with AI: Integrating Imaging with Multimodal Data (PRIMED-AI) program, which will support the development of innovative, reliable, and cost-effective AI-based tools that integrate clinical imaging with other health data types to enhance personalized medicine for patients with chronic and other health conditions. The program will fund the development and initial testing of discrete projects that deliver "playbooks" of frameworks for responsible use of PRIMED-AI models, error mitigation and technical management of data and algorithms, data ontology/linkage, and preparation for regulatory approval. Some key points to consider are: * The program will utilize the U01 activity code. * Investigators with expertise and insights into AI-driven integration of clinical imaging with other complex and multiscale health data are encouraged to apply. * Collaborative investigations combining expertise in harmonization processes for appropriate development and validation of multimodal AI tools to develop AI-based technologies leveraging multimodal data will be encouraged. * The program will require a Data Management and Sharing Plan, and applicants must submit the plan at the time of application using the NIH DMS Plan Format Page. * The program will also require reporting, and award recipients will be required to submit the Research Performance Progress Report (RPPR) annually and financial statements as required in the NIH Grants Policy Statement Section 8.4.1 Reporting.