VEON, a provider of connectivity and internet services, has announced that its mobile operator in Russia, Beeline, is collaborating with Russia’s Sechenov Medical University on a project using artificial intelligence (AI) technology in diagnostic medicine.
Drawing on Beeline’s capabilities in AI, the partnership is using 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 people 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 the Moscow-based Sechenov Medical University, Russia’s largest research medical school.
Aleksandr Torbakhov, chief executive officer of Beeline, said: “The technology developed by mobile operators now spans far beyond connectivity and embraces applications that help individuals live longer, healthier lives. The use of Beeline’s AI technology in medical diagnosis demonstrates the contribution that mobile operators can make in this vital field, and we are proud to be part of this initiative with Sechenov Medical University.”
Under the agreement, Beeline and Sechenov Medical University will develop AI software and data analytics to provide early diagnosis of critical diseases and conditions across traumatology and histology. The AI software is used to analyse MRI images and helps doctors to accurately diagnose and identify the development of pathologies, which is especially critical at an early stage of the development of diseases.
In traumatology, this will include the use of AI to detect pathologies of the hip joint to enable medical, non-surgical treatment to be carried out at an early stage. The AI analytics also help physicians identify pathologies such as synovitis, cartilage lesions 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 assists medical research activities by reducing the time taken for analysis while also decreasing the risk of errors. The AI pattern recognition is also planned for use in oncology where it will analyse the influence of certain tissue formations as predictors of cancer of the kidneys, and so potentially enable early diagnosis.
George Held, VEON’s group director of digital operator, said: “Medicine is a new and very interesting area of research in terms of information technology. In cooperation with Sechenov University, we plan to create breakthrough products based on artificial intelligence and big data analytics that will enable medical professionals to speed up diagnoses and facilitate their work. We truly believe that our cooperation will contribute to saving lives and halt the development of critical diseases.”
