Artificial Intelligence at NIH


Artificial Intelligence at the NIH

The National Institutes of Health (NIH) makes a wealth of biomedical data available to research communities and aims to make these data findable, accessible, interoperable, and reusable—or FAIR. Additionally, the NIH seeks to make these data usable with artificial intelligence and machine learning (AI/ML) applications.  

NIH has unique needs that can drive the development of novel approaches and application of existing tools in AI/ML. From electronic health record data, omics data, imaging data, disease-specific data, and beyond, NIH is poised to create and implement large and far-reaching applications using AI and its components.

Learn more about artificial intelligence activities at the NIH below.

humanoid silhouette made of dots that turn into circuit board like hair to represent artificial intelligence

ODSS-Led Initiatives

Catalyzing new opportunities in AI and data science

Bridge2AI graphic identity


Propelling biomedical research by setting the stage for widespread adoption of AI 

AIM-AHEAD graphic identity

AI/ML Consortium to Advance Health Equity and Researcher Diversity

Increasing the participation and representation of researchers and communities currently underrepresented in the development of AI/ML models

Multimodal AI

Advancing Health Research through Ethical, Multimodal AI

We invite applications from eligible organizations to apply!

Icon with conected nodes surrounding the letters A.I.

Institute- and Center-Funded Initiatives

Developing and implementing AI/ML technologies across biomedical research domains

This page last reviewed on April 3, 2024