Russia Develops AI Platform for Women Undergoing IVF
Russia has introduced ReProduct, an AI-powered platform designed to make the in vitro fertilization (IVF) process easier for women at every stage. The service was developed at a joint campus of Sechenov University and Sber’s School 21, an educational initiative focused on digital technologies.
ReProduct offers a range of features: the platform can store patients’ medical records, help them track their treatment, and provide emotional support when they need it.
A Source of Comfort and Clear Answers
According to the developers, undergoing IVF raises many questions for women: What happens at each stage? In what situations should they contact a doctor urgently? How can they cope more easily with the wait for results? During this emotionally sensitive period, it is especially important to have emotional support, track treatment progress, and receive timely information in clear, accessible language.
The development team set out to create a tool that would help women feel more confident and secure throughout the IVF protocol. The AI platform was developed by Sechenov University students Anastasia Shatilina, Tatyana Usacheva, Eva Titkova, and Denis Aniskin, together with Aselder Saidov, a graduate of the university’s joint campus with School 21.
ReProduct supports women throughout the process, from the start of the IVF protocol to pregnancy confirmation. Patients can use the service to maintain a treatment calendar, log symptoms, store medical records in one place, and receive reminders to take medications and attend appointments. ReProduct also explains each stage of IVF and helps patients prepare questions for their doctors. One of the platform’s key features is an AI companion that acts as a translator for patients: it explains complex medical terminology in plain language, answers questions about treatment, and offers emotional support. The developers emphasize that the digital assistant does not replace a doctor. All medical decisions remain in the hands of healthcare professionals.
A Questionnaire Tailors Treatment Support
The platform is straightforward to use. When patients first access it, they complete a questionnaire with information about their age and lifestyle, previous IVF attempts, and medical test results, such as ovarian reserve markers and endometrial thickness. The system uses these data to generate personalized recommendations for preparing for an IVF protocol, including lifestyle guidance and suggestions for topics and questions to discuss with a doctor.
In the future, the developers plan to equip the platform with tools for symptom analysis and patient health assessment. These features are intended to help identify situations in which a patient should seek medical attention.
Personalized Patient Support
ReProduct addresses several needs at once: it provides personalized support for patients, tracks each stage of treatment, and helps them keep track of their doctor’s instructions.
This Russian-developed IT solution brings together artificial intelligence, digital health, and reproductive medicine in a practical application. Over time, projects like this could help advance AI-powered medical assistants and healthcare software in Russia.
The work by students from Sechenov University and School 21 demonstrates the potential of interdisciplinary educational projects that bring medicine and IT together. If the platform sees active real-world use and proves successful, it could be adapted for other areas of medicine in which treatment involves multiple stages and requires regular monitoring, including oncology, rehabilitation, and chronic disease management.
Experts point to the importance of the digital solution being developed by students from one of Russia’s oldest universities and a participant from Sber’s School 21, an educational initiative focused on digital technologies. This collaboration, they say, can help ensure the reliability of medical information, protect personal data, and take healthcare’s digital transformation to a new level. In the future, the Russian platform could become an export product. To enter global markets, however, it would require substantial adaptation: tailoring the interface and medical assistant to each country, integrating with healthcare information systems, and establishing data exchange between the patient-facing service and clinics for documents, schedules, and other information.
