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Artificial Intelligence and Computer Vision in Healthcare

February, 14
10:00–11:30
In partnership with Sberbank
Digitalization and AI Technologies
World Trade Center Moscow, entrance No. 4, 2nd floor, conference hall 4
With the accumulation of large amounts of medical data and the rapid development of analytical methods based on machine learning, logical and statistical models, AI tools can change the situation in the healthcare sector at its core. AI has the ability to personalize and take into account the characteristics of various parameters for different patient models, which allows for more accurate selection methods to diagnose and treat diseases, offer self-help tactics, and provide individual assistance. In the past few years, the use of AI in healthcare has been actively developing in Russia. In a number of regions, the models that are gradually taking hold and being used belong to one of two main groups: computer vision and medical decision support systems. Computer vision is used to assist radiologists. Instead of viewing each image, the doctor just needs to describe the changes that were uncovered by artificial intelligence. Medical decision support systems analyse a patient’s records from his/her medical history (data mining his/her electronic medical record), including the results of his tests, and inform this doctor of the most likely diagnosis. For the third year now, Moscow clinics have been using AI models to help doctors make diagnoses, which today have an accuracy rate for determining illness of 89%. A doctor’s work can be accelerated further by using AI models that automate the completion of medical documentation utilizing voice inputs. Concurrently, patient-oriented services for pre-clinical self-examination, assessment of a patient’s condition, as well as post-clinical rehabilitation (depending on the nosology) are also being actively developed. How will the introduction of AI technologies change the role of doctors in the healthcare system? What challenges might the system face when introducing AI? What will be the new organizational models of clinics? What will the clinic of the future look like? What areas of development of AI technologies in the world are the most promising? What benefits and advantages will the state, industry, and local populations receive from the introduction of AI technologies in healthcare? What has been the experience of Moscow clinics that have incorporated computer vision models? What opportunities will open up in the future due to the development of AI models?
Moderator:
Sergey Zhdanov
Managing Director, Director of the Health Industry Center, Sberbank
Panellists:
Dmitry Dylov
Director of the Department of Applied Medical Research, AIRI – Artificial Intelligence Research Institute; Associate Professor, Center for Artificial Intelligence Technologies, Skolkovo Institute of Science and Technology (Skoltech)
Vasily Ignatiev
General Director, R-Pharm
Kirill Kaem
Senior Vice-President for Innovations, Skolkovo Foundation
Pavel Pugachev
Deputy Minister of Health of the Russian Federation
Ilya Tyrov
Deputy Head, Moscow City Health Department
Alexey Fedorov
"Quantum Information Technologies" Scientific Group Head, Russian Quantum Center; Director, Institute of Physics and Quantum Engineering, MISIS University of Science and Technology
Evgeny Shlyakhto (online)
General Director, Almazov National Medical Research Centre of the Ministry of Health of the Russian Federation; Chief Supernumerary Specialist Cardiologist of the Ministry of Health of the Russian Federation
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