I.F. FAYRUSHINA^{1, 2}

 ¹Kazan State Medical University, Kazan

²Republic Clinical Hospital, Kazan

Contact details:

Fayrushina I.F. — PhD (Medicine), Assistant Lecturer of the Department of Hospital Therapy, rheumatologist, ultrasound specialist

Address: 49 Butlerov St., 420012 Kazan, Russian Federation, tel.: +7-987-186-26-56, e-mail: sirenif@mail.ru

The article presents an analysis of the use of artificial intelligence (AI) for the ultrasound (US) diagnostics of joint and soft tissue pathologies in rheumatic diseases (RDs). The study is relevant due to the growing prevalence of RDs and the need to improve diagnostic accuracy. The methodology includes analyzing machine and deep learning algorithms in US diagnostics. The main areas of AI application are discussed: automated image segmentation, synovitis diagnostics, and tendon and cartilage assessment. Key findings demonstrate the high potential of sonogram analysis by AI-models. The practical significance of the study lies in showing the AI ability to standardize and improve the US diagnostics accuracy. The article describes the application of AI for diagnosing synovitis, including tendons and cartilage, as well as RDs such as osteoarthritis and gout. Key development areas include standardization of AI solutions, database expansion, and integration of AI into clinical practice.

Key words: artificial intelligence, ultrasound diagnostics, synovitis, rheumatic diseases, machine learning.

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