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

Mona G. Flores

Kenneth W. Goodman

Jianying Hu

Ernest L. Carter

Denise V. Rodgers

Omolola Ogunyemi

Chitra Nayak

Alexander Libin

Tracy Monteith

Anish Patel

The Health and Biomedical Informatics Team at AIM-AHEAD Consortium collaborates to leverage AI/ML technologies in analyzing electronic health records (EHR) and other diverse health data. Their goal is to enhance health equity and address disparities by informing and guiding the development of robust biomedical informatics tools grounded in inclusive research and community representation.

Health and Biomedical Informatics Team

Research and Fellowship Team

Health and Biomedical Informatics Team

About

Team members

Other teams at AIM-AHEAD Consortium

Research and Fellowship Team