AI-Driven UAV Support System for First Responders: Integrating Medical and Infrastructure Data in Emergency Scenarios

This paper presents a conceptual framework for an artificial intelligence (AI)-driven un-manned aerial vehicle (UAV) support system designed to assist first responders during emergency scenarios. The proposed model integrates aerial sensing, decision-support analytics, and real-time communication between medical and infrastructure agencies. The framework connects UAV data collection with digital infrastructure mapping and medical coordination layers, enabling synchronized and secure information exchange. A case study along the Štip-Skopje transport corridor in North Macedonia demonstrates how UAV reconnaissance and decision-support modules can enhance situational awareness, resource deployment, and triage management. Simulation results show improvements in response time, communication reliability, and operational efficiency compared with conventional systems. The findings confirm that combining UAV technology with integrated decision-support processes can strengthen emergency management, reduce human and infrastructural risks, and support sustainable and intelligent infrastructure operations.