The National Institutes of Health’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program has established mutually beneficial, coordinated, and trusted partnerships to enhance the participation and representation of researchers and communities currently underrepresented in the development of AI/ML models and to improve the capabilities of this emerging technology, beginning with electronic health records (EHR) and extending to other diverse data to address health disparities and inequities.

AI/ML

Health Care

Research

AIM-AHEAD Consortium

AIM-AHEAD Consortium's headquarters in Fort Worth, United States

Mona G. Flores

Anish Patel

This department focuses on advancing artificial intelligence and machine learning through innovative research and development.

AI Research Division

This department focuses on providing guidance and support in clinical artificial intelligence applications.

Clinical Mentorship

This department focuses on the development and training of professionals in health data science and advanced analytics.

Health Data Training

This department focuses on advancing health outcomes through genomic research and fellowship programs.

Health Outcomes and Genomics

This department focuses on advancing research and applications of artificial intelligence within population health.

Artificial Intelligence Research

This department focuses on leveraging technology and data to improve medical research and healthcare delivery.

AIM-AHEAD Consortium

Org chart

Teams

AI Research Division

Clinical Mentorship

Health Data Training

Health Outcomes and Genomics

Artificial Intelligence Research

Biomedical Informatics

Offices

AIM-AHEAD Consortium

Org chart

Teams

AI Research Division

Clinical Mentorship

Health Data Training

Health Outcomes and Genomics

Artificial Intelligence Research

Biomedical Informatics

Offices

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