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.

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.