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.
ODSS-Led Initiatives
Catalyzing new opportunities in AI and data science
Bridge2AI
Propelling biomedical research by setting the stage for widespread adoption of AI
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
Institute- and Center-Funded Initiatives
Developing and implementing AI/ML technologies across biomedical research domains
This page last reviewed on September 22, 2021