Roman Kovalev

Institute of Automation and Control Processes

Papers

Total Citations

H-Index

About

Dr. Roman Kovalev is a leading researcher at the intersection of artificial intelligence and clinical medicine, with a primary focus on developing intelligent decision support systems for complex therapeutic processes. His most cited work, "A knowledge base generation for creation a medical decision support system for managing the treatment process" (2024), addresses a critical national priority in the Russian Federation: the development of innovative approaches to tuberculosis management, particularly for multidrug-resistant forms. Dr. Kovalev’s major contribution lies in designing systematic methodologies for constructing medical knowledge bases that can power AI-driven clinical tools, enabling more precise and adaptive treatment protocols. His research bridges the gap between raw clinical data and actionable, evidence-based recommendations for physicians. While his citation count is currently modest (2 citations), this reflects the recency and specialized nature of his work, which has significant potential for growth as AI-assisted healthcare expands. Dr. Kovalev’s achievements include aligning his research with national strategic healthcare goals, positioning him as a key figure in the modernization of tuberculosis treatment through computational intelligence. His work promises to enhance clinical decision-making in resource-constrained settings.