Russian Students Develop AI App to Diagnose Lung Diseases
Students from Khakass State University have won a $11,850 grant to build an AI-powered tool that helps doctors detect pneumonia, tuberculosis, and other lung conditions faster and more accurately.
The project, called LungScan, was one of the winners of Russia’s federal “Student Startup” program. It’s being developed by graduate students at the university’s Institute of Engineering and Technology, with guidance from faculty and expert input from a pulmonologist.
According to the university’s press office, LungScan is designed as a web app that processes chest X-rays and CT scans, along with patient data, using artificial intelligence algorithms. The system flags possible pathologies, suggests further examinations, and reduces diagnostic errors. That’s especially valuable in clinics with staff shortages or in remote regions.
The tool is aimed primarily at doctors in local and regional clinics, who are often the first to see patients with cough or breathing problems. By standardizing diagnostics and cutting the time to diagnosis, the system enables earlier treatment and better outcomes.
The initiative highlights how cutting-edge technology is beginning to make a practical impact in Russian medicine, improving both access to and quality of care. It also holds commercial potential for integration into medical information systems nationwide. The technology is based on deep neural networks trained on real patient data, ensuring high accuracy.
