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NIH invests over $2 billion annually in AI-adjacent biomedical research across all 27 institutes and centers. The Bridge2AI program ($130 million) and AIM-AHEAD ($75 million) are the highest-profile dedicated AI initiatives, but AI research permeates NIH's entire portfolio — from NCI's cancer imaging AI to NIMH's computational psychiatry to NIBIB's biomedical imaging and bioengineering programs.
NIH AI proposals can be submitted through standard R01, R21, and R43/R44 (SBIR) mechanisms to AI-relevant study sections. The Center for Scientific Review has established study sections specifically for AI/ML in biomedicine. K-series career development awards support junior investigators transitioning into AI health research.
Key areas of NIH AI investment include medical image analysis, drug discovery and repurposing, electronic health record analytics, genomics and precision medicine, clinical decision support, and AI for health equity. Proposals must address clinical relevance, data quality, algorithmic fairness, and validation pathways.
Bridge2AI ($130M)
Generating ethically sourced, ML-ready datasets across biomedical domains. Four data generation projects plus one integration center.
Browse grants →AIM-AHEAD ($75M)
AI/ML Consortium to Advance Health Equity and Researcher Diversity. Builds AI capacity at underrepresented institutions and communities.
Browse grants →NCI Imaging AI
National Cancer Institute grants for AI-driven cancer detection, diagnosis, and treatment response prediction using medical imaging data.
NIH SBIR (Health AI)
Small business grants for AI/ML health technologies across all institutes. Phase I $275K, Phase II $1.75M. Higher success rates than R01s.
Browse grants →3 matching grants
Bridge to Artificial Intelligence (Bridge2AI) - Network for AI Health Science is sponsored by NIH Common Fund. As part of the Bridge2AI program's second stage, the 'Network for AI Health Science' initiative will bring together scientific experts to develop safety measures for responsible AI use and research in health sciences.
Bridge to Artificial Intelligence (Bridge2AI) is sponsored by NIH Common Fund. The Bridge2AI program aims to bridge the gap between biomedical and behavioral research and artificial intelligence (AI) by generating tools, resources, and richly detailed AI-ready data. It also creates training materials, best practices, and activities to support workforce development across different research communities. Stage II will build upon Stage I's accomplishments to use generated data, tools, and best practices to address major biomedical and behavioral health challenges through Innovation Funnels and a Network for AI Health Science.
Artificial Intelligence, Machine Learning, and Deep Learning - NIBIB Programs is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB) - NIH. This program supports research in Artificial Intelligence, Machine Learning, and Deep Learning with an emphasis on the development of transformative machine intelligence-based systems, emerging tools, and modern technologies for diagnosing and recommending treatments for a range of diseases and health conditions. Program priorities include computer-aided diagnosis, computer-aided screening, analyzing complex patterns and images, screening for diseases, and computer vision in medical applications.
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