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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 →12 matching grants
Bridge to Artificial Intelligence (Bridge2AI) - Network for AI Health Science is sponsored by NIH Common Fund. The second stage of the Bridge2AI program will support a Network for AI Health Science, bringing together scientific experts to develop safety measures for responsible AI use and research, and building a framework to inform future AI health sciences research.
The NIH AIM-AHEAD (Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity) program establishes partnerships to increase participation of underrepresented researchers in AI/ML development and enhance AI capabilities for addressing health disparities. The program funds small-scale research projects co-led by community-based organizations and academic institution researchers using community-based participatory research (CBPR) approaches. Projects advance AI/ML capacity building for communities across the US, enhance community stakeholder understanding of AI/ML methods, and build capacity for community engagement in AI/ML research. Hub-specific projects support multiple research hubs nationwide. The consortium is funded through NIH Agreement OT2OD032581 and operates through the Office of Data Science Strategy.
Artificial Intelligence (AI) Research and Development (R&D) Program is sponsored by National Institutes of Health (NIH). Supports innovative AI research projects aimed at advancing healthcare through machine learning, data analytics, and computational modeling. NIH is providing guidance to researchers on the appropriate usage of artificial intelligence (AI) to maintain the fairness and originality of NIH's research application process.
Bridge to Artificial Intelligence (Bridge2AI) Program - Stage 2 Innovation Funnels and Network for AI Health Science is sponsored by NIH Common Fund. The Bridge to Artificial Intelligence (Bridge2AI) program aims to bridge the gap between biomedical and behavioral research and artificial intelligence. Stage 2 will focus on accelerating health-related research by creating reliable tools and resources specifically designed for AI systems in scientific research. It will support Innovation Funnels, creating tools, devices, and insights using AI-ready datasets, and a Network for AI Health Science, bringing together experts to develop safety measures and frameworks for responsible AI use.
Bridge to Artificial Intelligence (Bridge2AI) Program - Stage 2 is an upcoming grant from the NIH Common Fund that will build upon Stage 1 accomplishments to use AI-ready biomedical datasets, tools, and best practices to address major biomedical and behavioral health challenges. Stage 1 committed $130 million over four years to generate flagship AI-ready datasets and workforce development resources, which are now available through the Bridge2AI portal. Stage 2 will support two initiatives: Innovation Funnels using AI-ready datasets to create tools and insights that improve health outcomes, and a Network for AI Health Science to develop safety measures for responsible AI use in research. Eligible applicants and award amounts for Stage 2 have not yet been published. The program was approved for a second stage as of January 2026.
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.
Bridge to Artificial Intelligence (Bridge2AI) Program is sponsored by National Institutes of Health (NIH) Common Fund. The Bridge2AI program aims to bridge the gap between biomedical and behavioral research and artificial intelligence (AI). It seeks to generate tools, resources, and richly detailed AI-ready data that is accurate, reliable, and ethically sourced. The program also creates training materials, best practices, and activities to support workforce development across different research communities.
NIH Common Fund Bridge2AI (Bridge to Artificial Intelligence) Program - Stage 2 is sponsored by National Institutes of Health (NIH) Common Fund. Bridge2AI is a flagship NIH program to build AI-ready biomedical datasets and ethical frameworks. Stage 2 shifts focus from dataset creation to delivering deployable tools for specific health challenges. Universities that built infrastructure under Stage 1 are well-positioned for continuations, but new applications aligning with AI-driven biomedical research, including imaging, could be relevant.
Artificial Intelligence, Machine Learning, and Deep Learning (NIBIB Focus Area) is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB) - NIH. NIBIB supports the design and development of artificial intelligence, machine learning, and deep learning to enhance the analysis of complex medical images and data. This includes clinical decision support systems, computer-aided diagnosis and screening, analyzing complex patterns and images, and machine/deep learning-based segmentation and registration.
Artificial Intelligence, Machine Learning, and Deep Learning (NIBIB) is sponsored by National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH. Supports mission-aligned projects focused 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. This includes early-stage development of software, tools, and reusable convolutional neural networks.
Artificial Intelligence and Technology Collaboratories (AITC) is sponsored by National Institute on Aging (NIA), National Institutes of Health (NIH). This program funds promising AI-driven AgeTech pilot projects that seek to improve care and health outcomes for older Americans, including persons living with Alzheimer's Disease and Alzheimer's Disease-Related Dementias (AD/ADRD). This includes smart home cameras that can detect movement and falls.
Artificial Intelligence and Technology Collaboratories for Aging Research (AITC) is sponsored by National Institute on Aging (NIA) / National Institutes of Health (NIH). This program funds promising AI-driven AgeTech projects focused on improving care and health outcomes for older adults, including those with Alzheimer's disease and related dementias (AD/ADRD), and their caregivers. This includes tools for social isolation and loneliness, algorithms to predict certain health outcomes or help with early diagnosis, and technologies that can detect movement and falls. Pilot awardees may receive access to study sites, datasets, and resources, as well as mentorship.
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