Russia

The new service automates coxometry, a process that involves identifying specific anatomical landmarks and calculating angles to assess the position and alignment of structures within the hip joint.

The United Nations (UN) and the International Telecommunication Union (ITU) organised the summit as a platform for advancing practical AI solutions that support the Sustainable Development Goals.

During the congress, specialists from the Moscow-based center presented research on head and neck imaging, the use of AI-powered diagnostic algorithms, and strategies for improving the quality of medical imaging examinations.

Moscow researchers developed a series of national standards, known as GOST standards, covering the creation, testing, and clinical use of AI technologies.

The analysis showed that the best results were achieved when AI acted as a “second reader,” supporting physicians rather than replacing them.

The publications aim to support the growing integration of AI into medical imaging and to strengthen clinicians’ ability to use these technologies safely and effectively in everyday practice.

The newly introduced AI algorithm performs measurements that radiologists previously conducted manually, significantly reducing interpretation time and improving consistency in diagnosis.

Since 2020, the Moscow government has been running the Moscow Experiment on Computer Vision in healthcare, an initiative coordinated by the Center for Diagnostics and Telemedicine with support from the city’s digital infrastructure teams.

The initiative supports Moscow’s broader oncology modernization strategy, which combines investments in diagnostic technology, artificial intelligence, and clinician education to improve patient outcomes.