UofM Receives NIH Award to Launch the AI Health Equity Lab

New research initiative leverages machine learning to tackle health disparities and advance national AI capacity

 

The University of Memphis has received a new award from the National Institutes of Health (NIH) to support the project “Advancing AI-ML Research to Address Inequities in Substance Use: Establishing the University of Memphis AI Health Equity (UM-AIHE) Lab.” This investment marks a major milestone in the University’s growing leadership in artificial intelligence, public health innovation, and health equity research.

Supported through the NIH AIM-AHEAD Consortium, the AI for Health Research Lab began with an initial focus on addressing substance use disorder through machine learning approaches for early detection, treatment coordination, and longitudinal monitoring. As the lab has matured, its work now spans a range of public health challenges, all while contributing to national efforts to expand AI capacity. The group’s scholarly output includes peer-reviewed publications, conference posters, federal grant proposals, and a recent book authored by Dr. Ricky Leung on generative AI applications in public health.

The lab integrates machine learning, digital health tools, and applied data analytics to design solutions that can be used in real-world settings. Building on its foundational work, the team now develops applications for real-time risk prediction, patient engagement, and decision support. Dr. Leung also leads projects that create and test AI-enabled devices for diverse age groups. Supported by a Tennessee Technology Advancement Consortium (TTAC) grant, the lab is conducting feasibility studies on interactive AI devices designed to support communication, motivation, and healthy routines for both youth and older adults.

A key pillar of the lab’s mission is strengthening institutional infrastructure for applied AI research. In collaboration with Dean Ashish Joshi, Dr. Leung helped launch the Center for Responsible AI in Public Health within the School of Public Health, establishing a centralized hub for research, training, and technology evaluation. Through partnerships with universities, health agencies, and industry collaborators, the lab works to refine and scale emerging AI applications. 

The lab is also deeply committed to education and workforce development. Dr. Leung and his team contribute to the undergraduate AI for All minor and are actively involved in launching the University’s new MS in Applied AI program. These initiatives equip students with the advanced analytical and technical skills needed for careers in public health, digital health, and AI-driven industries.

Through groundbreaking research, device development, institutional capacity building, and student training, the UM-AIHE Lab is poised to deliver innovative solutions that improve health outcomes and daily functioning across the lifespan—from young people to older adults.

For more information on this award or the lab, contact Dr. Ricky Leung, PI, professor, and director of Social and Behavioral Sciences, at rcleung@memphis.edu.