
George Mason University has developed an AI-driven mobile app prototype for clinical documentation of bruises, aiming to aid survivors of violence.
Key Details
- 1George Mason University team created the Evidence-based AI Software for Injury Detection (EAS-ID) app, successfully completing Phase 1 prototype development.
- 2The app uses AI to capture and document bruises, guiding clinicians to produce images and records that meet clinical and legal standards.
- 3Initial funding of $4.85 million was received from an anonymous donor in March 2024.
- 4The app supports real-time guidance, image quality control, and standardized documentation, targeting frontline and forensic nursing professionals.
- 5AI training involves a large, diverse dataset, with a target of one million images collected; partnerships include Inova Health System and Adventist Healthcare.
- 6A crowdsourcing initiative will expand data beyond controlled clinical environments to improve real-world applicability.
Why It Matters

Source
EurekAlert
Related News

AI and Imaging Reveal Atomic Order in 2D Nanomaterials
A multi-university team has uncovered how atomic order and disorder in 2D MXene nanomaterials can be predicted and tailored using AI, enabled by advanced imaging analysis.

DreamConnect AI Translates and Edits fMRI Brain Activity into Images
Researchers unveil DreamConnect, an AI system that reconstructs and edits visual imagery from fMRI brain data with language prompts.

AI-Powered Optical Imaging Achieves High Accuracy for Colorectal Cancer Detection
A label-free optical imaging technique using autofluorescence lifetime and AI can distinguish colorectal cancer with 85% accuracy.