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
- Natalie Cartwright: Norwich University
- Zhuo Chen: University of Georgia
- Samuel Darko: Florida Memorial University
- Youping Deng: University of Hawaii at Manoa
- Adrienne Dillard: Kula no na Po'e Hawaii
- Ang Li: Baylor College of Medicine
- Suman Niranjan: University of North Texas-Denton
- Joan O’Connell & Luohua Jiang: University of Colorado Anschutz Medical Campus and University of California - Irvine
- Janet Robishaw: Florida Atlantic University
- Abiel Roche-Lima: University of Puerto Rico - Medical Science Campus
- Josh Schilling: Vibrent Health
- Del Smith: Acclinate
- Alex Stokes: University of Hawai'i
- Lakshman Tamil: MedCognetics, Inc
- Greg Tardieu: Alexandria City Public Schools
- Allen Tien: Medical Decision Logic: Inc.
- Va’atausili Tofaeono: American Samoa Community Cancer Coalition
- Hari Trivedi: Emory University
- Katherine Tuttle: Providence Sacred Heart Medical Center & Children’s Hospital
- Amy D. Waterman: Houston Methodist Hospital
- Brian Yorkgitis: University of Florida-Jax
Regional Distribution of Awardees - Cohort 1
Cohort 2 Awardees
- Suresh Bhavnani: University of Texas Medical Branch at Galveston
- Laura Brandt: The City University of New York
- Cheryl Brown: University of North Carolina, Charlotte
- Natalie Cartwright: Norwich University
- Ying Ding: University of Texas at Austin
- Macarius Donneyong: Ohio State University
- Camille Edwards: Boston Medical Center
- Gian-Gabriel Garcia: Georgia Institute of Technology
- Yanmin Gong: University of Texas at San Antonio
- Marie Guerraty: University of Pennsylvania
- Vibhuti Gupta: Meharry Medical College
- Feifan Liu: University of Massachusetts Medical
- Semhar Michael: South Dakota State University
- Junier Oliva: University of North Carolina
- Abiodun Oluyomi: Baylor College of Medicine
- Abiel Roche-Lima: University of Puerto Rico, Medical Science Campus
- Hari Trivedi: Emory University
- Katherine Tuttle: Providence Sacred Heart Medical Center & Children's Hospital
- T. Sean Vasaitis: The University of Maryland Eastern
- Amy Waterman: Houston Medical Research Institute
- 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