AI-Powered Drones in Emergency Healthcare
Indra Kishor, Udit Mamodiya, Deepti Dwivedi, Priya Goyal, Sachinkumar Suthar · 2025
Integration of drones, or unmanned aerial vehicles, into healthcare systems is an emerging disruptive option for major problems in the medical logistics sector. Drones have proven to be able to overcome geographical obstructions, minimize response time in emergencies, and bring crucially essential medical supplies to underserved and inaccessible places. This paper gives a comprehensive study on the use of drones for remote and emergency medical support, thus exemplifying their probable revolution in healthcare delivery systems that exist today. A revolutionary architecture for integration involving sophisticated technologies such as IoT and AI has provided real-time monitoring, autonomous navigation, and optimal operation efficiencies. The project will work on the modelling studies and extensive field tests of urban, rural, and disaster-prone regions, thus analyzing how drones might save up to 60% in delivery time with a saving of 50–70% as compared to traditional methods. Finally, it would resolve all the essential issues thrown by legislative and payload constraints and some sensitive ethical issues like data privacy. Results show that not only do drones increase access to healthcare but also key patient outcomes in settings where time is life, including cardiac arrests and disaster response. The paper concludes with prescriptive recommendations for increased drone deployment for health applications, thereby providing a roadmap for the mitigation of technology, legislation, and infrastructural barriers. The results underscore the capability of drones to address critical bottlenecks for global healthcare systems and rank them as indispensable tools for contemporary medical logistics.