Artificial Intelligence at NIH

About 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. Often described as computers “thinking like humans,” AI/ML leverages computer models and systems to simulate intelligent or human-like decision-making.

These large and diverse datasets can create a broad new horizon for AI/ML, also creating the opportunity to use critical, data-driven discovery approaches to biomedical research. NIH has unique needs that can drive the development of novel approaches and application of existing tools in AI/ML. From electronic health record (EHR) data, omics data, imaging data, disease-specific data, and beyond, NIH is poised to create and implement large and far-reaching applications with AI and its components.

The Office of Data Science Strategy (ODSS) coordinates trans-NIH efforts in AI/ML to complement the advancements many of the 27 NIH institutes and centers are making in this area. Additionally, the NIH Common Fund's Bridge to Artificial Intelligence (Bridge2AI) program is working to address widespread adoption of AI. The NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program aims to increase participation and representation of currently underrepresented communities in the development and adoption of AI/ML.

Initiatives to Advance AI for Biomedical Research

ODSS-Led Initiatives
 

humanoid silhouette made of dots that turn into circuit board like hair to represent artificial intelligence
The NIH Office of Data Science Strategy (ODSS) coordinates activities across NIH’s 27 institutes and centers to catalyze new opportunities in AI and data science. The ODSS is leading three trans-NIH initiatives in AI.
Bridge2AI
 


The NIH Common Fund’s Bridge to Artificial Intelligence (Bridge2AI) program will propel biomedical research forward by setting the stage for widespread adoption of AI that tackles complex biomedical challenges beyond human intuition.
AIM-AHEAD
 

AIM-AHEAD graphic identity
NIH’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program will establish mutually beneficial and coordinated partnerships to increase the participation and representation of researchers and communities currently underrepresented in the development of AI/ML models.
Institute- and Center-Funded Initiatives

Many of NIH's 27 institutes and centers are developing and implementing AI/ML technologies.

Resources

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This page last reviewed on July 16, 2021