AIM-AHEAD Consortium Development Program (CDP) to Advance Health Equity

Program Director

Harlan Jones, PhD

Purpose

The AIM-AHEAD Consortium Development Projects to Advance Health Equity program has established multidisciplinary research projects that use AI/ML to develop novel algorithms and approaches to address health disparities and inequities. Awardees used new or existing datasets — such as electronic health records, image data, and Social Determinants Of Health — to develop and enhance AI/ML algorithms that have the potential to detect and mitigate bias or illuminate ethical or other emerging issues to reduce health disparities while improving healthcare and outcomes for populations experiencing health disparities in the United States.

About AIM-AHEAD

Artificial Intelligence/Machine Learning Consortium to Advance Health Equity And Researcher Diversity (AIM-AHEAD) is an initiative funded by the National Institutes of Health that is dedicated to enhancing diversity in the field of artificial intelligence and machine learning (AI/ML), with emphasis on reducing health disparities and promoting health equity. Led by the AIM-AHEAD Coordinating Center, this program has cultivated a diverse nationwide consortium that embraces equity and transparency, aimed at leveraging AI/ML to enhance health outcomes across diverse and under-resourced communities. Through the establishment of strategic partnerships, targeted research programs, and engagement with key stakeholders, AIM-AHEAD continues to bolster participation and foster meaningful involvement within the AI/ML and health equity field.

Participants

View the Cohort 1 and Cohort 2 participants below.

Cohort 1 Awardees
  1. Natalie Cartwright: Norwich University
  2. Zhuo Chen: University of Georgia
  3. Samuel Darko: Florida Memorial University
  4. Youping Deng: University of Hawaii at Manoa
  5. Adrienne Dillard: Kula no na Po'e Hawaii
  6. Ang Li: Baylor College of Medicine
  7. Suman Niranjan: University of North Texas-Denton
  8. Joan O’Connell & Luohua Jiang: University of Colorado Anschutz Medical Campus and University of California - Irvine
  9. Janet Robishaw: Florida Atlantic University
  10. Abiel Roche-Lima: University of Puerto Rico - Medical Science Campus
  11. Josh Schilling: Vibrent Health
  12. Del Smith: Acclinate
  13. Alex Stokes: University of Hawai'i
  14. Lakshman Tamil: MedCognetics, Inc
  15. Greg Tardieu: Alexandria City Public Schools
  16. Allen Tien: Medical Decision Logic: Inc.
  17. Va’atausili Tofaeono: American Samoa Community Cancer Coalition
  18. Hari Trivedi: Emory University
  19. Katherine Tuttle: Providence Sacred Heart Medical Center & Children’s Hospital
  20. Amy D. Waterman: Houston Methodist Hospital
  21. Brian Yorkgitis: University of Florida-Jax

Regional Distribution of Awardees - Cohort 1

Cohort 2 Awardees
  1. Suresh Bhavnani: University of Texas Medical Branch at Galveston
  2. Laura Brandt: The City University of New York
  3. Cheryl Brown: University of North Carolina, Charlotte
  4. Natalie Cartwright: Norwich University
  5. Ying Ding: University of Texas at Austin
  6. Macarius Donneyong: Ohio State University
  7. Camille Edwards: Boston Medical Center
  8. Gian-Gabriel Garcia: Georgia Institute of Technology
  9. Yanmin Gong: University of Texas at San Antonio
  10. Marie Guerraty: University of Pennsylvania
  11. Vibhuti Gupta: Meharry Medical College
  12. Feifan Liu: University of Massachusetts Medical
  13. Semhar Michael: South Dakota State University
  14. Junier Oliva: University of North Carolina
  15. Abiodun Oluyomi: Baylor College of Medicine
  16. Abiel Roche-Lima: University of Puerto Rico, Medical Science Campus
  17. Hari Trivedi: Emory University
  18. Katherine Tuttle: Providence Sacred Heart Medical Center & Children's Hospital
  19. T. Sean Vasaitis: The University of Maryland Eastern
  20. Amy Waterman: Houston Medical Research Institute
  21. Bo Zhou: University of North Texas Health Science Center

Regional Distribution of Awardees - Cohort 2

Impact

Awardees engaged in multidisciplinary research projects that use AI/ML and develop novel algorithms and approaches that address health disparities and inequities and have the potential to significantly impact healthcare access and health outcomes for populations that experience health disparities.

Program Inquiries

All questions and inquiries regarding this program can be directed to the CDP HelpDesk. Please create a help ticket here: HelpDesk - Submit a Ticket

 

Scroll to top