TED BOLU COLLEGE / 10-A
An Innovative Software for the Medical World: Disease Detection with Artificial Intelligence
Berra Aden GÖKŞİN
58
In today’ s world, the devastation caused by natural disasters is not limited to physical destruction but also brings serious health problems. Exposure to dust, toxic asbestos, and being trapped under rubble after earthquakes significantly increase respiratory diseases. This situation necessitates the rapid and effective management of the diagnosis and treatment process. However, the disruption of healthcare services and the insufficient capacity of hospitals after disasters make it difficult to detect and treat these diseases in a timely manner.
In this context, AI-supported mobile diagnostic stretchers have been developed to enable quick and accurate diagnoses in disaster areas, thereby accelerating patients’ access to treatment. The system integrates mobile X-ray devices to provide instant imaging and employs deep learning algorithms for disease detection. The VGG16 architecture used in the system analyzes X-ray images to diagnose respiratory diseases such as pneumonia, COPD, asthma, acute inhalation injury, and RADS with high accuracy.
One of the most significant advantages of this technology is that it alleviates the burden on hospitals in chaotic postdisaster environments, thus increasing the efficiency of the healthcare system. These mobile stretchers enable real-time remote data transmission, providing instant information to doctors and healthcare professionals while minimizing the