Cutting-edge research projects addressing critical challenges in healthcare through artificial intelligence and computational methods.
EAS-ID
Evidence-Based AI Software for Injury Detection
Developing AI-powered technology to detect and document bruises across all skin tones using alternative light source imaging and machine learning, helping victims of violence receive equitable care and justice.
Computer Vision | Medical Imaging | Forensic Science
Funding: NIH R01, NSF
AIM-AHEAD
Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity
Working to address the lack of diversity in the development, application. and workforce of AI/ML in health research and practice, ensuring AI systems work equitably for all populations.
Health Equity | Workforce Development | AI Ethics
Funding: NIH Common Fund
Details Coming Soon
Bruise Age Analysis
Collaborative AI Platform for Forensic Analysis of Bruises
Constructing a custom platform with AI Integration to conduct forensic analysis of bruises in order to glean admissible information across diverse skin tones.
Health Equity | Medical Imaging | Forensic Analysis
Funding: NIJ Grant
Details Coming Soon