Medicine of the future: unique AI-based diagnostics available at UNN
At the University Clinic of the UNN Institute of Clinical Medicine, 350 patients received a comprehensive examination using cutting-edge preventive medicine systems powered by artificial intelligence.
The cognitive age calculator developed at the Institute of Biology of Aging under the guidance of Mikhail Ivanchenko, an AI-based system for predicting age-related diseases and a technology for assessing cardiac age make it possible to assess the biological age of various body systems and identify the risks of developing chronic diseases at the preclinical stage, which is in line with current trends in longevity medicine.
Patients are provided with personalized reports that include an evaluation of their biological age and a prediction of the risks for cardiovascular and neurodegenerative diseases, based on clinical findings, complete blood count and biochemical analysis, electrocardiogram, echocardiography and ultrasound of the arteries, as well as cognitive test results.
"The AI platform we have developed implements an innovative, comprehensive approach to integrating clinical, cardiac, and cognitive data within a unified health assessment system," Mikhail Ivanchenko explains. "We employed cutting-edge AI technologies, including neural network algorithms, to detect early signs of potential pathologies and track negative changes in the body’s condition. By combining large language models for automated result interpretation with professional medical assessments, we offer University Clinic patients detailed conclusions complete with tailored recommendations for preventing and addressing identified health issues. In fact, this marks the first implementation of a truly integrated, personalized approach to preventive longevity medicine in Russia."
"We are very encouraged by the outcomes of the platform's implementation," says Natalia Grigorieva, Director of the Institute of Clinical Medicine. "Our medical professionals meticulously review the risks identified by AI systems and acknowledge the high level of diagnostic accuracy and clinical significance of the scientific findings. I would like to remind you that our institute annually hosts the interregional scientific and practical conference titled «Clinical Medicine on the Path to Active Longevity». We expect that the widespread adoption of these technologies will contribute to a reduction in mortality among working-age individuals due to the early detection of cardiovascular risks (up to 70% of preventable cases), thereby enhancing the quality of life through preventive interventions aimed at addressing cognitive and age-related changes. From an organizational standpoint, this approach represents a cost-effective strategy, as it shifts the focus from treating advanced forms of diseases to preventing them in the first place."
You can find out your cognitive age in 15 minutes by taking an online test. The set of tests evaluates the speed of decision-making, short-term memory, motor reactions, logical thinking, coloгr perception and flexibility of thinking (decisions in conditions of cognitive conflict).
