THANK YOU FOR SUBSCRIBING
Beeline and Sechenov Medical University will collaborate to develop AI software and data analytics to aid in the early detection of severe diseases and conditions in the fields of traumatology and histology.
FREMONT, CA: VEON, a leading global provider of connectivity and internet services, recently announced that Beeline, its Russian mobile operator, is collaborating with Russia's Sechenov Medical University on what it expects to be the first use of Artificial Intelligence (AI) technology in diagnostic medicine.
The alliance is pioneering the use of neural network pattern-matching algorithms to enable early diagnosis of damage in hip joints and identify kidney disease and probable malignancies, thanks to Beeline's powerful AI capabilities.
Beeline's AI technology was created to support the 'Lisa Alert' project, which aims to find and rescue people who have gone missing in Russia. Lisa Alert uses complex algorithms as part of a technology suite to locate people via drone imaging analysis. Medical researchers at Moscow's Sechenov Medical University, Russia's largest academic medical school, will now have access to the same AI technology.
Beeline and Sechenov Medical University will collaborate to develop AI software and data analytics to aid in the early detection of severe diseases and conditions in the fields of traumatology and histology. The AI software analyzes MRI pictures and assists doctors in precisely diagnosing and identifying the progression of illnesses, which is especially important at the early stages of disease development.
In traumatology, this will entail the application of AI to diagnose diseases of the hip joint early on, allowing for medical, non-surgical therapy. Pathologies, including synovitis, cartilage lesions, and pathological alterations in subchondral structures, can be detected using AI analytics.
During kidney and intestine biopsies, the AI algorithm helps clinicians to classify tissues in histological sections. This aids medical research by minimizing the amount of time it takes to analyze data while also lowering the possibility of errors. The AI pattern recognition will also be used in oncology, where it will examine the role of particular tissue forms as predictors of kidney cancer, potentially allowing for early detection.