AI Mentor for Doctors: Russia Launches Clinical Decision Support Chatbot

Digital School for Medical Professionals

The Sechenov University’s Methodological Center for Specialist Accreditation has launched “InfoMedica AI,” an intelligent chatbot designed to assist doctors with clinical reasoning and professional accreditation. The system acts as a personalized mentor, capable of analyzing symptoms and clinical cases in natural language and generating structured, evidence-based recommendations. 

The chatbot relies on Sechenov University’s comprehensive “Accreditation Library,” a verified database that includes clinical guidelines, medical standards, and regulatory documents. Users can input a patient’s symptoms as they would when consulting a colleague, and the AI generates a differential diagnosis, suggests diagnostic procedures, and recommends treatment steps — all supported by references to specific sources from the library. 

The pilot phase begins with cardiology, pulmonology, and urology, with plans for expansion into other medical specialties in the near future.

Improving Clinical Competence and Patient Safety

For the medical community, InfoMedica AI offers a major leap in how doctors approach continuous learning. Instead of manually searching through hundreds of documents, physicians can focus on their specific knowledge gaps and receive guided explanations in seconds. The chatbot operates as a 24/7 digital mentor, providing personalized, contextual learning that improves exam readiness and strengthens clinical reasoning. 

“The resource is used by graduates of medical universities and colleges, as well as by physicians and residents preparing for accreditation or seeking guidance on complex clinical cases. We have created a convenient tool that allows doctors to quickly access answers from a trusted knowledge base.”

Zhanna Sizova

Director of the Methodological Center for Specialist Accreditation at Sechenov University

Over time, this system could help raise the overall level of clinical literacy in Russia’s healthcare system — enhancing both diagnostic accuracy and patient safety. It also represents a growing trend of AI integration into highly regulated, professional domains. Here, the goal is not technological experimentation but precision — using AI to interpret complex, context-sensitive data in a way that supports real-world decision-making.

Scaling and Global Potential

InfoMedica AI has the potential to become a standard tool across Russian medical schools and continuing education programs. Future versions may feature virtual patient simulations, user knowledge analytics, and integration with e-learning platforms. 

The system’s architecture — combining conversational AI with structured medical data — makes it adaptable for international markets, particularly in CIS countries and developing regions where medical education infrastructure is expanding.

However, as with all AI in healthcare, ensuring accuracy and maintaining trust remain key challenges. The developers emphasize constant expert oversight and real-time updates to ensure medical reliability and adherence to the latest clinical standards.

From Digitalization to Decision Intelligence

InfoMedica AI demonstrates a shift from simple digitization toward intelligent environments that support real-time decision-making. Its strength lies in solving a specific, large-scale problem — helping hundreds of thousands of physicians prepare for accreditation more effectively. 

Success will ultimately be measured by improved clinical confidence and competence among doctors who use the system. In that sense, the project represents one of the most practical applications of Russian AI innovation, focused squarely on measurable public benefit.