Violence is a global pandemic.
Our team is dedicated to aiding victims of violence by creating solutions using innovative approaches to capture, analyze, and process images and data about their injuries. Leveraging artificial intelligence and specialized imaging techniques, we strive to provide crucial support to those most in need.
A significant impact of our efforts has focused on helping victims with darker skin tones, whose injuries, such as bruises, may be less visible. Through a combination of artificial intelligence and alternate light sources, we’re able to significantly enhance the detection of their injuries, thereby making a substantial difference in their lives.
The goal of the EAS-ID project is to tackle disparities in medical and legal outcomes related to injury assessment through an objective approach that considers diverse individuals and environments. Our team includes clinical, engineering, and health informatics experts who have an established track-record of federally funded collaboration. By carefully considering the victim and end-user experience, we aim to develop and bring to market innovative tools to characterize injuries.
The EAS-ID project’s unique approach combines artificial intelligence (AI), database interactivity, and specialized light sources, with clinical expertise and a “lean” approach to technology translation. Data and images are sourced through clinical partnerships, laboratory research, and established datasets. Ultimately, our team seeks to create a transformative process for providing victims of violence with more accessible and equitable care.
Human Subject Protection
Multiple activities of the project are covered by several protocols approved by Institutional Review Boards at George Mason University and partnering organizations. Contact Dr. Kathi Huddleston (khuddles@gmu.edu) for specific protocol information. To volunteer as a research participant in one of our active protocols, see the ENGAGE section.
Sponsors
This project would not be possible without funding from our sponsors. Initial data collection was completed in collaboration with Texas A&M University under the support of the National Institute of Justice (NIJ; 2016-DN-BX-0147). NIJ also supported our preliminary research activities (15PNIJ-21-GG-04145-SLFO).
A generous donation from an anonymous sponsor allows us to bring this project to another level. It provides us with an opportunity to build a solution that works and will directly impact victims of violence.