Autonomous Robots for Air Quality Control and Sterility Maintenance in Surgical Rooms Using AI and IoT

In this study, the use of autonomous robots to improve air quality management and sterility in surgical situations is explored. The robots are outfitted with advanced sensors that continually monitor airborne pollutants and ambient conditions using AI and the IoT. The implementation of fuzzy logic control algorithms enables real-time decisionmaking, enabling the process of air filtration and sterilization to be dynamically adjusted depending on changing factors. It details a comprehensive system design that allows easy integration into healthcare networks via data collecting, processing, and communication protocols. The deployment of these autonomous robots seems to greatly enhance compliance with air quality regulations, leading to a decrease in the incidence of surgery site infections, according to preliminary studies. Healthcare providers can provide better care to patients with this novel method, which automates vital operations. Robotics can revolutionize several contemporary surgical procedures, as shown by the results.