Moscow Center and Beijing University partner to improve early breast cancer detection with AI

RUSSIA— The Center for Diagnostics and Telemedicine in Moscow and Beijing University of Technology (BJUT) have launched a strategic partnership to develop advanced algorithms aimed at improving ultrasound imaging quality and diagnostic accuracy, with a special focus on early breast cancer detection.

This collaboration unites top Russian and Chinese scientists to share research materials, co-develop mathematical models and data analysis methods, co-author scientific papers, and participate in international conferences.

Yuri Vasilev, chief consultant for diagnostic imaging at the Moscow Health Care Department, stressed the significance of international cooperation in medical research and education.

He highlighted that partnering with BJUT, a leading Chinese technical university, represents a major step forward in medical technology and breast cancer diagnostics.

This agreement also opens opportunities for exchanging expertise and applying innovative solutions in Russian healthcare institutions.

Anton Vladzimirsky, deputy director for research at the Center, pointed out the mutual benefits of the partnership.

Russian experts bring experience in producing medical phantoms-models that mimic human tissues and organs used for equipment calibration and training, while their Chinese counterparts contribute advanced mathematical algorithms for signal processing.

Vladzimirsky emphasized that combining these strengths will lead to more sophisticated ultrasound imaging algorithms, enhancing diagnosis of critical diseases.

Currently, Moscow researchers have developed 12 types of medical phantoms, categorized for training healthcare professionals and calibrating diagnostic devices.

These phantoms help practitioners refine diagnostic techniques and ensure equipment accuracy before clinical use.

From BJUT, Associate Professor Zhuhuang Zhou expressed enthusiasm about the collaboration, noting the value of Moscow’s phantom models for testing and refining new artificial intelligence (AI) algorithms prior to clinical trials.

He emphasized that the accuracy of these models is crucial for valid research and expects the partnership to drive significant healthcare innovations.

The Center for Diagnostics and Telemedicine, under the Moscow Healthcare Department, is a pioneer in integrating AI into clinical practice, managing radiology departments, and training medical professionals.

Since 2013, it has produced over 800 scientific publications and registered more than 200 intellectual property results.

The Center has also led Moscow’s large-scale experiment using computer vision and AI, analyzing over 14 million medical images since 2020, demonstrating AI’s transformative impact on diagnostic precision and efficiency.

BJUT is one of China’s top technical universities, actively engaged in education and research collaborations worldwide.

Its partnership with the Moscow Center reflects a shared commitment to advancing medical technologies through international cooperation.

Together, these institutions aim to harness AI and innovative imaging techniques to improve early diagnosis and treatment outcomes, particularly for breast cancer, benefiting healthcare systems in both countries.