Articles

The application of machine learning in healthcare, as one of the more general artificial intelligence technology, has shown enormous potential for improving diagnostic and treatment outcomes for various conditions. However, success of AI-based software largely depends on the availability of high-quality medical datasets and the infrastructure built to streamline its management. Creating relevant, representative and accurately labeled datasets is a complex and expensive task that requires diverse...

Implementation of Artificial Intelligence (AI) is considered one of the most promising directions in the digital transformation of healthcare. Such systems can improve the quality of therapeutic and diagnostic processes and the efficiency of planning and managing the healthcare industry. However, the potential of AI to enhance public health indicators and improve the functioning quality of the healthcare system is inextricably linked to ethical issues arising from the specific aspects of their creation...

Aim: To evaluate the experience of using software based on artificial intelligence technologies as part of the Moscow experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images.
Material and methods: A retrospective study was conducted. The work includes the conclusion outputs of 3 AI services on 822 thousand fluorographic studies for the period from 05.01.2022 to 29.12.2022. Pathology was present in 28,341 studies (3.4%). The assessment ...