Presentation at the Scientific Council on Therapeutic Sciences of the Department of Medical Sciences, RAS

On March 18, 2026, the Scientific Council on Therapeutic Sciences under the Department of Medical Sciences of the Russian Academy of Sciences held a meeting centered on the evolution of artificial intelligence. The session, titled “How Artificial Intelligence is Transforming Therapeutic Practice: Reality and Prospects,” featured a presentation by our Chief Innovation Officer, Yuri Vyatkin.
 

Yuri highlighted the current capabilities of AI in the medical field, emphasizing that effective data analysis requires more than just processing text, images, or audio. He argued that a multimodal approach is essential, medical AI must integrate diverse data types, including text, imaging, video, signals, and structured data to reflect real-world clinical scenarios. Since diagnosis and therapy in actual practice rarely rely on a single source, the closer a model aligns with a real clinical case, the more critical this integration becomes. Furthermore, Yuri noted several key shifts in the landscape: multimodality as the modern large-scale AI models are increasingly moving toward multimodal processing, foundational Models when the special medical foundational models have emerged with improved capabilities for handling long-form text, and strategic Focus when AI is shifting from pure diagnosis toward recommending comprehensive patient management strategies.

While contemporary multimodal models already provide significant assistance in diagnosis, therapy, and prevention, Yuri maintains that they will not fully replace physicians in the near future. Instead, AI should be viewed as a powerful tool designed to augment and enhance a doctor’s clinical expertise.