Artificial Intelligence Based Post-Disaster Trauma Analysis and Prioritization System

Abstract

To address medical emergencies resulting from high-impact incidents such as natural disasters and traffic collisions, a sophisticated mobile application-Artificial Intelligence-Based Post-Disaster Trauma Assessment and Prioritization System-has been developed to facilitate AI-driven rapid response. This system autonomously evaluates users' health conditions, classifies them according to the severity of their medical needs, and transmits real-time alerts to emergency healthcare providers. Compatible with both smartphones and smartwatches, the application monitors key physiological indicators, including heart rate, blood pressure, capillary refill time (CRT), and consciousness level. On smartphones, essential health data are obtained through transdermal imaging using the device's built-in camera and flash. In contrast, smartwatches enable continuous and more accurate data acquisition via PPG and ECG sensors. The system integrates several cutting-edge technologies, including blood pressure estimation via Pulse Transit Time (PTT), CRT measurement using HSV-based image processing, and a low-latency emergency notification infrastructure developed with Firebase. Collectively, these innovations enable efficient and timely medical intervention in the aftermath of large-scale emergencies.