AI-Driven UAV Path Planning for Efficient Medical Item Delivery

Using artificial intelligence and intelligent pathway planning, drones are revolutionizing healthcare logistics by enabling efficient delivery of critical medical supplies to remote areas. This study presents an AI-driven optimization model that schedules drone trips, selects charging station locations, avoid obstacles and weather zone and assigns provider to patients' location to minimize delivery time. By employing a hybrid genetic-simulated annealing algorithm, the system ensures timely, efficient medical deliveries. Validated through experiments and a case study in Southwestern suburb of Riyadh, SA, the approach highlights the potential of AI-powered drone delivery systems with the incorporation of recharging platforms to enhance healthcare logistics.