Translartion. Region: Russians Fedetion –
Source: Center for Diagnostics and Telemedicine – Moscow
Researchers from Saudi Arabia and the Philippines have expressed interest in a revolutionary method developed by the Center for Diagnostics and Telemedicine. The innovative tool, a survey designed to assess radiologists’ attitudes toward artificial intelligence (AI) in medical imaging, is intended to advance global research into the integration of AI in healthcare.
The survey assesses responses across four key areas: personal experience with AI, trust level, expectations for future collaboration, and implementation prospects. Taking into account the opinions of healthcare professionals, this study aims to streamline the implementation of AI services in healthcare, increasing efficiency and convenience. A scientific article about the new method was published in the international scientific journal Healthcare.
Yuri Vasiliev, General Director of the Center for Diagnostics and Telemedicine, Chief Consultant on Radiology at the Moscow Department of Health, emphasized the importance of this initiative:
“Artificial intelligence has already become an integral part of everyday medical practice in Moscow. Our goal is to make its use as convenient as possible for doctors and at the same time as useful as possible for patients. The questionnaire allows us to take into account the opinion of radiologists during the development process. We are also pleased with the international interest: colleagues from Saudi Arabia and the Philippines want to implement this tool. Moscow remains open to scientific cooperation with other countries.”
Developing a reliable survey instrument required painstaking scientific work. The Moscow team made sure that the questions were clear, unambiguous, and allowed for reliable results regardless of external factors such as respondents’ mood or time of participation in the survey. The questionnaire was thoroughly tested with the participation of more than 430 radiologists, including retesting in focus groups to confirm its reliability.
Anton Vladzimirsky, Deputy Director for Research at the Center, noted its practical application:
“The survey results allow organizers to determine the prevailing attitudes towards AI in radiology and develop targeted interventions. For example, it is possible to develop customized educational programs for radiologists or take measures to reduce concerns about the implementation of AI. This tool is universal – it can be applied at the hospital, regional or even national level.”
During this time, as part of an experimental initiative dedicated to innovative computer vision technologies for analyzing medical images, neural networks analyzed more than 14 million medical images, successfully identifying signs of pathologies in 39 different areas. The initiative is supported by the Government of Moscow and the Moscow Department of Health and is being implemented at the Center for Diagnostics and Telemedicine. Based on the results of the experiment, 22 national standards for the use of artificial intelligence in healthcare were developed, approved and officially put into effect.