AIO – Artificial Intelligence in Ophthalmology
FIRST ALL-RUSSIAN SUMMIT
WITH INTERNATIONAL PARTICIPATION
on the use of artificial intelligence algorithms for solving scientific and applied problems in the field of ophthalmology
November 3, 2022. ON-LINE
Until November 3
Until October 15
From October 1
3 November 2022
about the summit
The influence of Artificial Intelligence in the field of medicine is increasing every year. Ophthalmology is one of the most data-driven specialties in medicine. Our GOAL today is to improve the processes of diagnosis and treatment of ophthalmic pathologies using the methods and algorithms of Artificial Intelligence in order to provide the best quality of medical care tomorrow. The summit will include case studies in the form of individual stories of using Artificial Intelligence to solve ophthalmological problems and theoretical issues related to the security and implementation of such solutions.
Materials of the All-Russian Summit “Artificial Intelligence in Ophthalmology” will be published in a special December issue of the journal “Ophthalmosurgery” (Scopus)*.
*Articles formatted in accordance with the requirements of the Ophthalmosurgery journal are accepted.
Articles can be downloaded on the website of the Ophthalmosurgery journal marked “Summit” or sent to the editorial office of the journal: firstname.lastname@example.org, telephone number of the editorial office: (499) 488 8427.
directions of the summit
Technological progress have led to a large amount of medical devices that generate more than 50 petabytes of data every year. The processing of big data requires the use of new theoretical approaches, methods and technologies that can expand human intelligence. In ophthalmology, artificial intelligence is one of the tools to improve the efficiency of the treatment process through more accurate diagnosis, assessment of new disease biomarkers, automation of decision-making processes and assistance in other aspects of the doctor’s daily activities. In addition, one of the most important factors in the introduction of artificial intelligence is the decentralization of specialist experience to wider geographically distributed areas.
1956 was marked the emergence of the concept of “Artificial Intelligence” and at the same time was the starting point for the development of a new era – Industry 4.0. Artificial intelligence offers a number of advantages over traditional analytics. This is mainly achieved by increasing the accuracy of machine learning models as they interact with the data. Artificial intelligence will usher in a new era in patient management by automating and accelerating decision-making processes.
The use of information technologies in the field of healthcare provides an opportunity to improve the quality of patient care, significantly speed up the work of medical staff and reduce costs for patients. At the same time, the era of digital transformation is characterized by increasing complexity, increasing scale and the growth of coordinated computer attacks. According to a Kaspersky Lab report, from June to December 2021, more than 150,000 medical-themed phishing attacks were recorded. Thus, ensuring information security for solutions based on artificial intelligence is extremely important to reduce the risk of threats.
Digital Transformation Strategy and Regulatory Issues
Artificial intelligence in general, as well as machine learning methods, can facilitate the routine work of doctors, and also represent tools for medical institutions administrative managment processes. Such processes include planning, maintaining electronic health records, accounting, payroll, arranging payment for medical services, as well as compliance with safety and technical functioning standards. Artificial intelligence can help increase the efficiency, automation and functionality of the enterprise.
The S. Fyodorov Eye Microsurgery Federal State Institution
founded by an outstanding ophthalmic surgeon, academician Svyatoslav Nikolaevich Fedorov, recognized as one of the leading ophthalmological centers in the world.
Kuban State Medical University of the Ministry
higher education institution in Krasnodar. Included in the top 10 largest medical universities in Russia.
Federal State Budget-Financed Educational Institution of Higher Education The Bonch-Bruevich Saint Petersburg State University of Telecommunications
the oldest university in the Russian Federation, the generally recognized leader of the Russian higher education in the field of training specialists for the communications and telecommunications industry.
LLC Predict Space
company developer of solutions based on artificial intelligence
MALYUGIN BORIS EDUARDOVYCH
GUSEV ALEXANDER VLADIMIROVICH
MYASNIKOVA VICTORIA VLADIMIROVNA
DEMCHINSKY ANDREY MYKHAILOVICH
PROF. PEARSE KEANE
The Moorfields-DeepMind collaboration – Reinventing the Eye Exam
GUSEV ALEXANDER VLADIMIROVICH, Ph.D. of Engineering Sciences
Modern requirements and challenges for the responsible introduction of artificial intelligence systems for clinical medicine to the market
DEMCHINSKY ANDREY MYKHAILOVICH, Ph.D. of Medical Sciences
Artificial intelligence to detect retinal anomalies
MYASNIKOVA VICTORIA VLADIMIROVNA, Ph.D. of Medical Sciences, Associate Professor
Requirements for the developed multimodal prognostic or diagnostic algorithms and GOSTs.
AXENOV KIRILL DMITRIEVICH
Security, risk and privacy for AI solutions in medicine.
MOVSIYAN ANNA BORISOVNA
The use of neural networks and artificial intelligence as a modern method for diagnosing glaucoma
Automated diagnosis of keratoconus using topographic images
KOZINA ELENA VLADIMIROVNA
Application of neural networks for the analysis of OCT images of pigment epithelium detachments.
SHUHAEV SERGEY VIKTOROVICH, Ph.D. of Medical Sciences
Possibilities of convolutional neural networks in the diagnosis of endothelial dystrophy Fuchsaf images
PISKUNOV ALEXANDER VALERIEVICH
Analysis of the success of using nomograms, formulas and algorithms developed on the basis of artificial intelligence to calculate the parameters of the ISC installation in keratoconus surgery.
DOROFEEV DMITRY ALEKSANDROVICH, Ph.D. of Medical Sciences
Heat maps of multimodal data of patients with glaucoma built by artificial intelligence in the work of an ophthalmologist
If you have any questions, feel free to ask us!
Myasnikova Viktoria Vladimirovna
MD, phD, Chairman of the Organizing Committee, Deputy Director for Science of the S. Fyodorov Eye Microsurgery Federal State Institution
- 8(918) 322-78-12