Objective To analyze the funding landscape of multimodality artificial intelligence (AI) research projects supported by the National Institutes of Health (NIH), aiming to provide insights for the strategic development of related research in China. Methods Multimodality AI projects funded by the NIH from 2020 to 2025 were retrieved and analyzed across multiple dimensions, including funding trends, funding mechanisms, recipient institutions and regions, data modality distribution, and research hotspots. Results Since 2020, the NIH funded a total of 1 454 multimodality AI projects, predominantly basic research. Both the number of projects and funding amounts exhibited an increasing trend. These projects were widely applied in clinical research, network and information technology development, bioengineering, and neuroscience, with a focus on cross-domain open-access data platform development and research on priority diseases such as neurodegenerative disorders. Conclusion Multimodality AI projects funded by the NIH are characterized by robust top-level design support, advancement of data governance and infrastructure development, and a focus on major health challenges. These features offer valuable references for the planning and development of medical AI research in China.