Russian Researchers Develop AI Software to Detect Cardiovascular Disease Early
Two newly registered AI programs analyze routine CT scans to identify hidden heart disease risks—automating work that usually requires highly specialized experts.
Scientists at the Laboratory of New Medical Technologies at the Medical Institute of Orel State University named after I. S. Turgenev have developed and officially registered two artificial intelligence–based software programs designed for early detection of cardiovascular risk using computed tomography scans. The university’s press service shared the details with IT Russia.
Replacing Manual Analysis—and Saving Time
The research team created two AI-driven tools. One is designed for automated analysis of cardiac CT scans, while the second is intended for integration into clinical decision-support systems. Both programs focus on identifying early risk factors for cardiovascular disease.
Many such conditions develop without obvious symptoms and are often detected only at advanced stages, when treatment options are limited. Key indicators—such as coronary artery calcification and characteristics of pericardial fat tissue—can be identified on routine non-contrast CT scans. But doing so typically requires a highly skilled specialist and significant time.
That is where AI comes in. The two programs use machine learning and deep learning techniques to automatically analyze CT images. One system detects coronary calcium on non-contrast scans, while the other evaluates pericardial fat tissue. Both tools operate autonomously and do not require constant operator involvement.
Ready for Clinical Use
The analysis results are integrated into physician decision-support systems and can be used for screening, diagnosis, and treatment planning. Both AI programs have been officially registered and are ready for deployment in radiology practice.
Looking ahead, the developers say the technology could be integrated into regional and federal healthcare systems and expanded to include analysis of additional biomarkers associated with cardiovascular risk. The goal is to improve diagnostic accuracy, reduce physicians’ workload, and enable more personalized prevention strategies.
Earlier reports also highlighted progress in high-precision medicine elsewhere in Russia. Scientists at Tomsk State University of Control Systems and Radioelectronics developed AI-powered software for the country’s first domestically produced stereo X-ray system designed for treating cardiac arrhythmias. That system is expected to undergo technical and clinical trials in 2029 before entering routine medical practice.
