NIH AI Grants

Bridge2AI Stage 2 advances NIH's flagship biomedical AI initiative from creating ethically sourced, machine-learning-ready datasets to delivering deployable AI tools for specific health challenges. Stage 2 funds Innovation Funnels that use the Stage 1 AI-ready datasets (voice biomarkers, clinical cardiology, salutogenesis, AI/ML for precision public health) to build diagnostic algorithms, drug discovery platforms, and clinical decision support systems. It also establishes a Network for AI Health Science to develop safety protocols, responsible AI implementation guidance, and ethics frameworks for biomedical AI. Strong emphasis on FAIR data principles, transparent model documentation, equity, and public trust.

Artificial Intelligence and Technology Collaboratories for Aging Research (AITC) is sponsored by National Institute on Aging (NIA), National Institutes of Health (NIH). The AITC program serves as a national resource to promote the development and implementation of artificial intelligence approaches and technology through demonstration projects to improve care and health outcomes for older Americans, including persons with dementia and their caregivers. This includes supporting pilot studies, developing and disseminating technical and policy guidelines, and fostering collaborations with private industry.

Bridge to Artificial Intelligence (Bridge2AI) is sponsored by National Institutes of Health (NIH) Common Fund. This flagship NIH program is committed to building AI-ready biomedical datasets and ethical frameworks for their use. Stage 2 shifts focus from dataset creation to delivering these resources as trusted, deployable tools for specific health challenges. Institutions that built infrastructure under Stage 1 are well-positioned for continuations.

AI/ML Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) is sponsored by National Institutes of Health (NIH). This program establishes partnerships to increase the participation of underrepresented researchers in AI/ML development and enhance AI capabilities for addressing health disparities. It funds small-scale research projects co-led by community-based organizations and academic institutions using community-based participatory research approaches.

Bridge to Artificial Intelligence (Bridge2AI) - Network for AI Health Science is sponsored by NIH Common Fund. This program aims to bridge the gap between biomedical and behavioral research and artificial intelligence (AI). The 'Network for AI Health Science' initiative within Bridge2AI will bring together scientific experts to develop safety measures for responsible AI use and research, building a framework to inform future AI health sciences research.

Bridge to Artificial Intelligence (Bridge2AI) is sponsored by NIH Common Fund. The Bridge2AI program aims to propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) that tackles complex biomedical challenges. Stage II of the program will build upon Stage 1 accomplishments by using generated data, tools, and best practices to deliver trusted solutions for major biomedical and behavioral health challenges through 'Innovation Funnels' and a 'Network for AI Health Science'.

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.

The NIH Common Fund's Bridge to Artificial Intelligence (Bridge2AI) program accelerates the use of AI in biomedical and behavioral research by generating ethically sourced, AI-ready datasets and the tools to use them. On January 29, 2026, the NIH Council of Councils approved Bridge2AI to advance to Stage 2, with approximately $130 million over four years (pending appropriations). Stage 2 will fund Innovation Funnels that translate Bridge2AI's flagship datasets into validated clinical tools, and a Network for AI Health Science that develops safety, validation, and benchmarking protocols for health AI. Stage 2 RFAs had not yet been posted as of mid-2026 but are expected during 2026, with individual award amounts to be specified in those announcements.

AIM-AHEAD (Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity) is sponsored by National Institutes of Health (NIH). AIM-AHEAD focuses on building AI/ML capacity at under-resourced institutions and with underrepresented communities to increase the diversity of researchers and communities involved in the development and dissemination of AI in healthcare.

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, 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 Machine Learning Research is sponsored by National Institutes of Health (NIH). This program supports AI and machine learning research to advance biomedical and behavioral sciences. It focuses on the design and development of artificial intelligence, machine learning, and deep learning to enhance the analysis of complex medical images and data.

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.

Bridge to Artificial Intelligence (Bridge2AI) Stage 2: Innovation Funnels and Network for AI Health Science is sponsored by NIH Common Fund. The Bridge2AI program aims to propel biomedical research by generating new AI-ready biomedical datasets and best practices for machine learning analysis. Stage 2 will build upon these accomplishments to use the generated data, tools, and best practices to deliver trusted solutions for major biomedical and behavioral health challenges through Innovation Funnels and a Network for AI Health Science.