VEON’s Beeline to leverage its AI technology for medical diagnostics

VEON recently announced that its mobile operator in Russia, Beeline, is collaborating with Russian Medical University Sechenov in what it expects to be the revolutionary use of artificial intelligence (AI) technology in diagnostic medicine. .

Building on Beeline’s advanced AI capabilities, the partnership is pioneering the use of neural network pattern matching algorithms to enable early detection of damage in hip joints and to identify kidney disease. and potential cancers.

Beeline’s AI technology was originally developed to support the “Lisa Alert” project; an initiative to locate and rescue missing persons in Russia. Lisa Alert uses advanced algorithms as part of a suite of technologies to locate individuals through drone imaging analysis. The same AI technology will now be provided to medical researchers at Moscow-based Sechenov Medical University, Russia’s largest research medical school.


Under the agreement, Beeline and Sechenov Medical University will develop AI software and data analytics to provide early diagnosis of critical diseases and conditions in trauma and histology. AI software is used to analyze MRI images and helps physicians accurately diagnose and identify the development of pathologies, which is especially critical at an early stage of disease development. In trauma, this will include the use of AI to detect pathologies of the hip joint to enable early stage non-surgical medical treatment.

AI analysis also helps doctors identify conditions such as synovitis, cartilage damage, and pathological changes in subchondral structures. In histology, the AI ​​algorithm allows clinicians to classify tissues in histological sections during kidney and intestinal biopsies. This helps medical research activities by reducing analysis time while decreasing the risk of errors. AI pattern recognition is also intended for use in oncology where it will analyze the influence of certain tissue formations as predictors of kidney cancer, and thus potentially allow early diagnosis.

Aleksandr Torbakhov, CEO of Beeline
The use of Beeline’s AI technology in medical diagnostics demonstrates the contribution that mobile operators can make in this vital area, and we are proud to be part of this initiative together with Sechenov Medical University.

George Held, director of the digital operator of the VEON group
In cooperation with Sechenov University, we plan to create groundbreaking products based on artificial intelligence and big data analysis that will enable healthcare professionals to speed up diagnoses and make their jobs easier.


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