AI for Doctors: HSE Faculty of Computer Science Delivers Course for Russian University of Medicine Students
In June 2026, the HSE Faculty of Computer Science (FCS) completed a course on the use of artificial intelligence in medicine for first-year Paediatrics students at the Russian University of Medicine. The course was delivered with support from a grant awarded to HSE University under the Artificial Intelligence federal project, part of the national project ‘Data Economy and the Digital Transformation of the State.’
The programme was designed to introduce future doctors not only to practical AI tools but also to the fundamental principles behind them, their capabilities, and their limitations. The course put particular emphasis on the ongoing transformation of healthcare through artificial intelligence technologies and the professional challenges they can help address in the years ahead.
Daria Kasyanenko
‘The Faculty of Computer Science has built up extensive expertise in artificial intelligence and its applications across a wide range of industries,’ said Daria Kasyanenko, Deputy Dean for Communications and Continuing Education. ‘It is no coincidence that, for the second consecutive year, we have topped the AI Alliance ranking of Russian universities for AI talent development. Thanks to our laboratories, researchers, lecturers, and industry partners, we develop cutting-edge AI courses for priority sectors of the economy and are delighted to introduce them at other universities. In 2025, we developed and implemented AI modules in mining, linguistics, education, marketing, and medicine at five universities across four Russian regions. This year, we have already prepared six more modules—in AI for science, mechanical engineering, urban planning, agriculture, electric power engineering, and fintech—and are now preparing to introduce them at universities across Russia.’
According to course lecturer Andrey Borevskiy from the FCS School of Data Analysis and Artificial Intelligence, one of the course's main objectives was to go beyond a simple overview of popular generative AI services and help students understand how modern AI technologies work and how they can be integrated into medical practice.
Andrey Borevskiy
‘Our goal was not simply to show students that neural networks exist and can be used. We wanted to immerse them in the context of a rapidly changing world by explaining how these tools work, what their strengths and limitations are, and how they can be incorporated into professional medical practice. Today's students will become tomorrow's doctors, department heads, and hospital directors. The sooner they begin using these technologies thoughtfully, the faster medical practice itself will be able to evolve,’ said Andrey Borevskiy.
The course combined theory with an explanation of why AI should not be treated as a ‘black box.’ Students explored the mathematical and statistical principles underpinning AI models and discussed the limitations that must be taken into account when applying these tools in healthcare.
Discussions and practical case studies formed a key part of the programme. Students examined AI solutions that are already emerging in healthcare, explored how they could benefit outpatient clinics, medical centres, and hospitals, and considered the risks and challenges associated with their implementation. The course concluded with team debates in which participants presented arguments for or against integrating specific AI products into modern clinical practice.
The programme serves as an example of an interdisciplinary approach to training future doctors. Students not only became familiar with cutting-edge digital tools but also began to view artificial intelligence as an integral part of their future professional environment.
All of the AI modules developed by HSE University are available online (in Russian) and can be requested free of charge for implementation at universities across the country.
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