Russia Trains AI to Monitor Health Risks in Nuclear Industry Workers

An experimental AI system is learning to predict occupational illness by analyzing medical data from atomic sector employees.

In Russia, workers at Electrochemical Plant, part of the country’s nuclear industry, have volunteered for a unique health monitoring experiment. Their data is being used to train an AI system that aims to predict long-term health risks and offer personalized wellness advice for employees in radiation-related professions.

The system is tailored specifically for nuclear environments, factoring in radiation exposure, genetic background, and lifestyle. It is designed not just to track current health but also to identify the conditions that promote long-term physical resilience.

As part of the project, workers undergo regular preventive checkups, and their medical data is fed into the AI for analysis. In the first phase, 1,163 people participated; in the second, 536. The system evaluated their risk of illness, calculated biological age using aging biomarkers, and generated individual health recommendations.

According to Rosatom, the state nuclear corporation, the initiative will be expanded to other facilities after evaluating the initial results, with the goal of eventually covering the entire Russian nuclear sector.